R0027048 Manager, Product Software Engineering - Data Analytics

Senior manager software engineering

Principal Software Engineer

Software Engineer

Dot Net Cloud Developer

Senior Data Engineer 263935BR

Technical Architect

Lead Engineer

Data Science Senior Manager, Measurement

Principal Data Engineer

Responsibilities: <ul><li>Manage and lead a team of enterprise data lake contributors consisting of data engineers and developers.&nbsp;</li><li>Hire and build the best engineering team, define the vision of the team.&nbsp;</li><li>Own end-to-end data lake solution from analysis to implementation.&nbsp;</li><li>Oversee the design and development of enterprise level datalake solutions.&nbsp;</li><li>Review existing business process and and drive to adhere industry standard and best practices.&nbsp;</li><li>Mentor and foster growth within the team and.&nbsp;</li><li>Drive excellence in engineering and operations agility.&nbsp;</li><li>Deliver data lake releases and partner with product owners, key stakeholders, report and application teams.&nbsp;</li><li>Lead the data engineering automation, governance and roadmap,&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Expert in designing and implementing of enterprise level data solutions within cloud environment (preferably in Azure).&nbsp;</li><li>Expert in analyzing, designing of relational and data warehouse solutions.&nbsp;</li><li>5+ years of engineering and resource management experience.&nbsp;</li><li>Proficient in data engineering with Azure Data Factory and Azure Databricks.&nbsp;</li><li>Proficient with Power BI, Azure Analytics Services&nbsp;</li><li>Experience with working with business stakeholders, requirements &amp; use case analysis.&nbsp;</li><li>Strong communication and collaboration skills with creative problem-solving skills.&nbsp;</li></ul> Preferred Qualification <ul><li>Bachelors degree in Computer Science or equivalent work experience.&nbsp;</li><li>Experience with Agile/Scrum methodology.&nbsp;</li><li>Azure Data Engineer certification a plus.&nbsp;</li><li>Experience with tax and accounting domain a plus.&nbsp;</li></ul>

Responsibilities: <ul><li>Create the vision and guide a team of engineers to build and support digital products and services (DPS) across S&amp;T core priorities</li><li>Drive partnerships with User Experience, Product Management, IT, Data &amp; Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio</li><li>Develop software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.</li><li>Lead multi-discipline, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers.</li><li>Interact with executives across the company to lead the narrative around software engineering</li><li>Develop and expand DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences</li><li>Manage and appropriately escalate delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders</li><li>Interact with key business partners to recommend solutions that best meet the strategic needs of the business</li></ul> Requirements: <ul><li>A Bachelor’s Degree in Computer Science, Engineering, or a related field</li><li>Master’s or PhD in Computer Science or Engineering preferred</li><li>Minimum of 10 years of relevant software development and engineering management experience</li><li>3+ years’ experience managing developers with 1+ years of managing multiple managers/teams</li><li>Commanding knowledge of data structures, algorithms, and object-oriented design</li><li>Working knowledge of programming languages - Java and JavaScript</li><li>Working knowledge of Backend and Frontend Frameworks – Spring/Spring Boot/React/React Native and NodeJS ecosystem</li><li>Drive Best Practices of Code Reviews, Design Reviews, Architecture Reviews</li><li>Metrics-backed decisions during all phases of SDLC</li><li>Experience with Azure (preferred), Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions</li><li>Working knowledge of Cloud Native Development including concepts of Message Queues, Distributed Caching, Load Balancing, RDBMS, NoSQL, Key value stores, REST API’S, etc.</li><li>Experience with mission critical, 24x7 systems</li><li>Experience with high throughput cloud native distributed systems</li><li>Experience implementing and consuming large-scale web services</li><li>Deep knowledge of design patterns, architecture patterns</li></ul>

Responsibilities <ul><li>Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&amp;T core priorities</li><li>Drive partnerships with User Experience, Product Management, IT, Data &amp; Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio</li><li>Develop software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.</li><li>Lead multi-discipline, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers.</li><li>Interact with executives across the company to lead the narrative around software engineering</li><li>Develop and expand DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences</li><li>Manage and appropriately escalate delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders</li><li>Interact with key business partners to recommend solutions that best meet the strategic needs of the business</li></ul> Requirements <ul><li>A Bachelor’s Degree in Computer Science, Engineering or a related field</li><li>Master’s or PhD in Computer Science or Engineering preferred</li><li>Minimum of 8 years of relevant software development and engineering management experience</li><li>3+ years of experience on architecting fault tolerant, high scale distributed systems</li><li>Commanding knowledge of data structures, algorithms, and object-oriented design</li><li>Expertise in Java and Spring / SpringBoot ecosystem, JUnit , BackEnd MicroServices, Serverless Computing, Creating REST API’S</li><li>Experience with JavaScript/TypeScript, Node.js, React / ReactNative FrontEnd frameworks</li><li>Full stack engineering experience</li><li>Experience with Azure Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions</li><li>Experience with mission critical, 24x7 systems</li><li>Experience with high throughput cloud native distributed systems</li><li>Experience implementing and consuming large-scale web services</li><li>Deep knowledge of design patterns</li></ul>

Responsibilities: <ul><li>Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&amp;T core priorities</li><li>Partner with User Experience, Product Management, IT, Data &amp; Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio</li><li>Support software development strategy utilizing industry standards.</li><li>Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.</li><li>Support expanding DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences</li><li>Help problem solve delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders</li><li>Interact with key business partners to recommend solutions that best meet the strategic needs of the business</li><li>COVID-19 vaccination is a condition of employment for this role. </li><li>Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law</li></ul> Requirements: <ul><li>A Bachelor’s Degree in Computer Science, Engineering, or a related field&nbsp;</li><li>Master’s or PhD in Computer Science or Engineering preferred</li><li>Minimum of 3 years of relevant software development and engineering management experience</li><li>Commanding knowledge of data structures, algorithms, and object-oriented design&nbsp;&nbsp;</li><li>Expertise in Java and Spring / Spring Boot ecosystem, JUnit, Backend Microservices, Serverless Computing, Creating REST API’S</li><li>Experience with Azure (preferred), Google Cloud, or Amazon Web Services (AWS) and cloud specific PaaS and SaaS solutions&nbsp;</li><li>Experience with JavaScript/TypeScript, Node.js, React / React Native Frontend frameworks&nbsp;</li><li>Experience with Azure (preferred), Google Cloud, or Amazon Web Services (AWS) and cloud specific PaaS and SaaS solutions&nbsp;</li><li>Full stack engineering experience w React / React Native Frontend frameworks + Java or Python</li><li>Experience with Azure (preferred), Google Cloud, or Amazon Web Services (AWS) and cloud specific PaaS and SaaS solutions&nbsp;</li><li>Experience with mission critical, 24x7 systems&nbsp;</li><li>Experience with high throughput cloud native distributed systems&nbsp;</li><li>Experience implementing and consuming large-scale web services&nbsp;</li><li>Deep knowledge of design patterns&nbsp;</li><li>Strong attention to detail and extremely well-organized</li><li>Ability to work cross-functionally with the product, service design, and operations across the organization</li><li>Demonstrated passion for excellence with respect to Engineering services, education, and support</li><li>Strong interpersonal skills, ability to navigate through a complex and matrixed internal environment</li><li>Ability to work collaboratively with regional and global partners in other functional units</li><li>Ability to navigate a complex organization</li></ul>

Responsibilities: <ul><li>Design, develop cloud based applications using Microsoft Azure and other Cloud platforms.</li><li>Design, develop web applications, desktop applications using Microsoft technologies (.NET, C#, Microsoft Azure, IoTHub, WCF, WPF, SQL Server, Elastic DB, Redis).</li><li>Work closely with onsite, offshore and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of Mobile Applications</li><li>Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program</li></ul> Requirements: Education <ul><li>BE/ BTech degree in Computer Science or Electrical, Electronics with 5 to 8 plus years of software engineering and Mobile application development experience</li><li>TECH/MCA/ MS degree in Computer Science or Electrical, Electronics with 4 to 6 plus years of software engineering experience</li></ul> Required Technical Skills/Education: <ul><li>Excellent communication and leadership skills</li><li>3-5 years of Cloud software development experience under Agile development life cycle processes and tools</li><li>Must have experience working with project management tools such as Jira, Rally, or TFS.&nbsp;</li><li>Must have experience with source control tools like TFVC and/or Git</li><li>Strong understanding of cloud technologies including SaaS, PaaS, and IaaS</li><li>Develop messaging solutions using service bus queues, topics, relays, and notification hubs; create service bus namespaces and choose a tier; scale service bus</li><li>Develop apps that use WS-federation, OAuth, and SAML-P endpoints</li><li>Hands-on experience Implementing Redis caching, Azure Cache Services</li><li>Hands-on design and implementation of transient fault handling for services, respond to throttling, Application Request Routing (ARR) affinity</li><li>Troubleshoot and resolve concurrency issues in database</li><li>Design always on, availability groups, geographical fault tolerant highly available database solutions</li><li>Good Hands on experience diagnosing performance bottlenecks, wait stats, SQL query monitoring, review and optimization strategies</li><li>Thorough experience in cache and non-relational databases like Cosmos DB etc.</li><li>Hands-on development using distributed logging frameworks like serilog and diagnostics/dashboards using application insights.</li><li>Sound knowledge and hand-on experience using Application lifecycle management, DevOps, CI and CD using TFS and Team services</li><li>Hands on experience designing cloud applications for resilience and availability.</li><li>Create normalized and highly scalable logical and physical database design and switch between different database technologies like Oracle, SQL Server, Elastic databases to low end databases like SQLLite</li><li>Measure latencies, query execution times and propose and drive database/query optimization techniques&nbsp;</li><li>Mobile first approach in designing applications and strong TDD fundamentals</li><li>Thorough understanding of the Microsoft IOT suite including IOT Hubs, Event Hubs, Stream analytics, Machine learning, Notification Hubs etc.</li><li>&nbsp;Hands on porting experience in atleast one IOT stacks on the embedded devices and at least one wireless and wired sensor/telemetry devices integration with cloud.</li><li>Thorough knowledge and hands-on developing ARM templates and PowerShell scripts.</li><li>Good understanding of the IOS/Android App submission and integration needs and impact on the cloud development</li><li>Assertive communication, leadership and team skills</li></ul> Preferred Technical Skills/Education: <ul><li>Experience with Building Automation and/or HVAC domain</li><li>Knowledge on capabilities of cloud platforms like AWS, Google App Engine, VM Cloud, Orange etc.</li><li>Good understanding of the Linux, AIX, Windows Operating systems, evolution and differences.&nbsp;</li><li>Good understanding on Windows 7, Windows 8, 8.1 and 10 desktop apps, store apps etc.</li><li>Experience in designing big data applications, interactive solutions, big data real time processing solutions, cognitive services, Data lake analytics, Hadoop/HDInsight, Machine learning and Microsoft analytics platform, machine learning and end to end cloud analytics</li><li>Knowledge in data science</li><li>Additional Comments</li></ul>

Responsibilities: <ul><li>Active contributor to code development in projects and services.</li><li>Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.</li><li>Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.</li><li>Responsible for implementing best practices around systems integration, security, performance and data management.</li><li>Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.</li><li>Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.</li><li>Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.</li><li>Develop and optimize procedures to “productionalize” data science models.</li><li>Define and manage SLA’s for data products and processes running in production.</li><li>Support large-scale experimentation done by data scientists.</li><li>Prototype new approaches and build solutions at scale.</li><li>Research in state-of-the-art methodologies.</li><li>Create documentation for learnings and knowledge transfer.</li><li>Create and audit reusable packages or libraries.</li></ul> Requirements: <ul><li>6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.</li><li>4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.</li><li>4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).</li><li>2+ years in cloud data engineering experience in Azure.</li><li>Fluent with Azure cloud services. Azure Certification is a plus.</li><li>Experience with integration of multi cloud services with on-premises technologies.</li><li>Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.</li><li>Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.</li><li>Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.</li><li>Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.</li><li>Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.</li><li>Experience with version control systems like Github and deployment &amp; CI tools.</li><li>Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.</li><li>Experience with Statistical/ML techniques is a plus.</li><li>Experience with building solutions in the retail or in the supply chain space is a plus</li><li>Understanding of metadata management, data lineage, and data glossaries is a plus.</li><li>Working knowledge of agile development, including DevOps and DataOps concepts.</li><li>Familiarity with business intelligence tools (such as PowerBI).</li><li>BA/BS in Computer Science, Math, Physics, or other technical fields.</li><li>Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.</li><li>Proven track record of leading, mentoring data teams.</li><li>Strong change manager. Comfortable with change, especially that which arises through company growth.</li><li>Ability to understand and translate business requirements into data and technical requirements.</li><li>High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.</li><li>Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.</li><li>Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.</li><li>Foster a team culture of accountability, communication, and self-management.</li><li>Proactively drives impact and engagement while bringing others along.</li><li>Consistently attain/exceed individual and team goals</li><li>Ability to lead others without direct authority in a matrixed environment.</li><li>Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.</li><li>Understands both the engineering and business side of the Data Products released.</li><li>Places the user in the center of decision making.</li><li>Teams up and collaborates for speed, agility, and innovation.</li><li>Experience with and embraces agile methodologies.</li><li>Strong negotiation and decision-making skill.</li><li>Experience managing and working with globally distributed teams.</li></ul>

Responsibilities: <ul><li>As an individual contributor / technical system architect and a good team collaborator / mentor, work with Engineering team in product architecture design, program, debug software enhancements and/or new products; and provide technical guidance to build superior quality systems with low latency, large volume and high performance using the best-in-class technology stack.</li><li>Champion Agile, security and DevOps leading-practices, coding standards, processes, design patterns and tools in support of DevSecOps transformation</li><li>Proactively identify areas of improvements, setup/streamline process with best practices, conduct periodic reviews, come up with innovative solutions to overcome technology limitations and promote automation (with unit tests and PoC where relevant) to improve the overall efficiency and throughput.</li><li>Design and build systems that possess robustness, error free, stability, maintainable, modular, reusable, testable, secure, efficient and cost optimization.</li><li>Deploy and maintain critical applications on cloud-native microservices architecture - Experience building platforms for monitoring &amp; alerting.</li><li>Deploying microservices architecture using containers such as Docker, Podman, etc and management using ECS, Fargate, Kubernetes, openshift, etc.</li><li>Define and manage the maturity model and review deployment and delivery pipelines by implementing initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.</li><li>Optimize the cloud architecture to the overall product architecture, to offer clear separation of concerns for easy classification of services, to keep a loosely coupled architecture</li><li>Stay update with latest tools, technologies, methodologies and ideas in the relevant areas and conduct frequent internal workshops for knowledge sharing and lessons learned.</li><li>Setup and own the dev-sec-ops &amp; data ingestion pipelines with the support from the respective teams.</li><li>Track record of delivering various features by applying modern design patterns in large-scale applications with asynchronous processing, partial page refresh or DOM traversal.</li><li>Overall system level understanding of product architecture connecting business to architecture</li></ul> Requirements: <ul><li>An engineering degree (preferably in CSE, IT, ECE or EEE) with 7 - 14+ years full stack development experience (should have started career as developer) as engineer, designer, mentor / reviewer and / or Application Architect.</li><li>Should have strong experience maintaining critical large-scale applications in production environment.</li><li>Has spent a significant part of their career building cloud based software products (B2C preferred) or solutions from scratch to a complete SDLC / PDLC.</li><li>Strong working knowledge with problem solving and hands-on across the stack.</li><li>Frontend – Angular (preferred), React.js, Vue.js, HTML5 / CSS3</li><li>Backend - Node (preferred), Java, Python</li><li>Others – Mobile app (Kotlin, Swift, etc.), Rest APIs, Kafka, Big Data, DevOps, Analytics (preferred), AI/ML (preferred), Testing / QA, etc.</li><li>Good understanding of SQL (prefer postgresql) and NoSQL (prefer Cassandra) persistent storages / DBs as well as Elastic Search</li><li>Strong hands-on experience in setting up CI/CD pipelines and automated deployment with tools like.</li><li>Proficient in writing scalable, well-documented, tested REST API and RPCs</li><li>Have strong passion towards fault-tolerant, scalable, and resilient microservices</li><li>Strong working knowledge of building, deploying, and securing containers and Kubernetes (preferably in production) along with GIT, Jenkins, Packer, Artifactory, etc</li><li>Solid understanding of cloud native development patterns, gateways and microservices architecture.</li><li>Strong understanding of security best practices (such as OWASP) &amp; coding standards.</li><li>Certification in AWS (speciality or associate or professional certification), Kubernetes, programming languages (full stack preferably nodejs, java, angular), Security areas – at least 1 preferred.</li><li>Sound knowledge of Cloud (preferably AWS), IoT &amp; Security posture with defensive coding techniques.</li><li>Strong in problem solving, data structures and algorithm design is an added advantage.</li><li>Hands on scripting knowledge in shell scripting, python and Javascript.</li><li>Experience with automation tools like - Ansible, Terraform, Helm (preferred).</li><li>At least 1 successful implementation / exposure to “Infrastructure as Code” end to end automation pipeline with backup strategies and plans for BCP, DRP, MTTR and MTBF (preferred).</li><li>Experience with configuration management and security automation throughout CI/CD lifecycle with shift-left strategy (preferred).</li><li>Experience integrating and operating application security solutions (SAST/DAST/IAST) such as Aquascan, Veracode, SonarQube, Checkmarx, Synopsys, WhiteSource, Snyk, Blackduck, Contrast Security (preferred).</li><li>Experience integrating and operating container security (CWPP) solutions such as Aqua Security, Palo Alto Prisma Cloud Compute (Twistlock), Sysdig, StackRox (preferred).</li><li>Understanding of Deployment Strategies and Patterns including Blue/Green Deployment, Canary Releases, and Rolling Releases</li><li>Knowledge of modern data architectures (e.g., event driven architectures, data democratization, platform approaches to support ML/AI at scale, data engineering stack, stream processing, and integrating real time analytics into customer applications) is an added advantage.</li><li>Domain expertise and implementations in IoT, Telematics, Connected Vehicles, Mobility Solutions is a big plus.</li><li>Active participation and contribution to technical forums, platforms, open-source community, conferences, journals, etc. (preferred)</li></ul>

Role Description: <ul><li>Experienced Data Science &amp; Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.).&nbsp;</li><li>Our client is seeking a Lead Engineer for Data Analytics and Machine Learning within the Systems &amp; Solutions Engineering organization.</li><li>This Lead Engineer role will have the responsibility to support the definition and execution of data analytics within Fire &amp; Security product lines.</li></ul> Responsibilities: <ul><li>Collect data from IoT platform, perform data quality check and filtering techniques</li><li>Organize large-scale data to the required formats for data analysis for different service business use cases.</li><li>Data mining using state-of-the-art methods</li><li>Selecting features, building and optimizing classifiers using machine learning techniques</li><li>Enhancing data collection procedures to include information that is relevant for building analytic systems</li><li>Develop tools of visualization and dashboard to illustrate the data analysis results.</li><li>Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, PTC, AWS etc.).</li><li>Support the development of end-to-end cloud-based analytics solution implementation</li></ul> Requirements: <ul><li>Excellent understanding of data mining, machine learning techniques and algorithms</li><li>Knowledge on statistical programming languages, including but not limited to R, Python, SLQ, etc., to process data and gain insights from it</li><li>Strong coding experience: C/C++, Python, Java, JavaScript, etc.</li></ul>

Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers, and product partners to develop new machine learning approaches, and measurement strategies.</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.).</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables.</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment, and industrialization of enterprise-level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas.</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li></ul> Requirements: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.&nbsp;</li><li>As a Data Science Senior Manager - Measurement, you: Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement.</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit.</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels.</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time.</li></ul>

Responsibilities: <ul><li>Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.</li><li>Act as a subject matter expert across different digital projects.</li><li>Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.</li><li>Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.</li><li>Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.</li><li>Responsible for implementing best practices around systems integration, security, performance and data management.</li><li>Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.</li><li>Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.</li><li>Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.</li><li>Develop and optimize procedures to “productionalize” data science models.</li><li>Define and manage SLA’s for data products and processes running in production.</li><li>Support large-scale experimentation done by data scientists.</li><li>Prototype new approaches and build solutions at scale.</li><li>Research in state-of-the-art methodologies.</li><li>Create documentation for learnings and knowledge transfer.</li><li>Create and audit reusable packages or libraries.</li><li>COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law</li></ul> Requirements: <ul><li>8+ years of overall technology experience that includes at least 6+ years of hands-on software development, data engineering, and systems architecture.</li><li>6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.</li><li>6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).</li><li>4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).</li><li>Fluent with Azure cloud services. Azure Certification is a plus.</li><li>Experience scaling and managing a team of engineers.</li><li>Experience with integration of multi cloud services with on-premises technologies.</li><li>Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.</li><li>Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.</li><li>Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.</li><li>Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.</li><li>Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.</li><li>Experience with version control systems like Github and deployment &amp; CI tools.</li><li>Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.</li><li>Experience with Statistical/ML techniques is a plus.</li><li>Experience with building solutions in the retail or in the supply chain space is a plus</li><li>Understanding of metadata management, data lineage, and data glossaries is a plus.</li><li>Working knowledge of agile development, including DevOps and DataOps concepts.</li><li>Familiarity with business intelligence tools (such as PowerBI).</li></ul>

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