Lead, Data Engineering

R0027048 Manager, Product Software Engineering - Data Analytics

Machine Learning Engineering Manager

Controller Data Transformation Lead Analyst – Data Requirements

Principal Software Engineer

Senior manager software engineering

Lead Engineer

Solution Architect – Ecommerce

Data Analyst

Systems Engineer - PLM

Responsibilities: <ul><li>Translate business requirements to responsive functional web solutions.&nbsp;</li><li>This includes designing and building APIs, front-end interfaces and scalable tools that ingest and transform real-time data using a variety of open-source and proprietary big data technologies.</li><li>Recommend and implement ways to improve data reliability, efficiency and quality</li><li>Work closely with stakeholders to ensure high standards of data governance during implementation</li><li>Serve as technical subject matter expert on the latest big data technologies</li></ul> Requirements: <ul><li>Hands-on proven track record in developing products from front-end interface, middle-tier, to backend infrastructure</li><li>7+ years of superior experience developing commercial web-based applications</li><li>4+ years of full-stack web development experience in Javascript (node.js and React framework)</li><li>Proficiency in SQL is mandatory</li><li>Excellent scripting knowledge in Python, Shell etc</li><li>Those with strong production experience in Scala or Spark programming languages will be considered favourably</li><li>Relevant experience in web, video, mobile or adtech domain is a definite plus</li><li>Demonstrated clear and thorough analytical thinking</li><li>Good eye for aesthetics and an attention to detail</li><li>A proven team player and contributor who can multi-task and deliver against timelines</li><li>Minimum degree in Computer Science/Engineering, or equivalent</li></ul>

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>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

Role Description: <ul><li>The Controllers Data team is responsible for the implementation of enhancements to our client Data Operating Model (DOM) in relation to data consumed or produced by the Controllers organization.</li><li>The team is responsible for understanding the concerns of the stakeholders within the Controllers organization relative to data quality and availability to assess required solutions to address those issues ensuring to coordinate closely with both internal and external stakeholders.</li><li>They are engaged in efforts to remediate the issues through engagement with resolution teams, bridging the gap between the technology teams and the business teams. The focus will be to satisfy the data needs of the Controllers organization with data that is high quality and fit for purpose.</li><li>The Controllers Data team will execute activities in support of Finance Transformation Plan sections for data management and remediation to support data consumption, data production, adjustment reduction and other remediation efforts.</li><li>This position will be a lead analyst role within the team who will be responsible for the operationalization of data management standards for data produced and consumed by the Controllers organization.</li><li>This role will be involved in supporting the data management implementation including defining requirements, supporting implementation, and facilitating consumption of data. Additionally, the role will require coordination with stakeholders in the Controllers organization and other stakeholders across our client.&nbsp;</li><li>The individual in this role will focus on data requirements for data consumed by the Controllers organization, primarily focused on Regulatory Reporting and Books &amp; Records.</li></ul> Responsibilities: <ul><li>Coordinate requirements gathering process for the Controllers consumption of data, working closely with functional teams, process owners, product SMEs across Controllers / Finance to understand data needs, including critical data elements, data quality rules, etc.</li><li>Assess functional team requirements and consolidate/standardize to facilitate conversations with upstream data producers and implementation teams.</li><li>Analyze data to correlate data quality issues with data specifications and quality rules.</li><li>Support the implementation of data management initiatives across our client to ensure the needs of Controllers are met and that the data is fit for purpose.</li><li>Contribute to development and maintenance of data lineage, process maps, data concepts and glossaries</li><li>Facilitate the transition of data consumption from existing models to the enhanced data management framework, including defining consumption points, trusted sources, and technology enablers</li><li>Participate in the development of data quality rules and metrics, including dashboards, KPIs, and other measurements of success.</li><li>Facilitate or contribute to status meetings (recurring and ad-hoc) with required stakeholder communities (including senior management) by preparing materials and updates, summarizing issues and risks, defining agreed action items and next steps</li><li>Create project artifacts including, but not limited to: business and functional requirements, user acceptance test plans, and operational readiness documents</li></ul> Requirements: <ul><li>Bachelor’s degree in Economics, Finance, Accounting, Data Management or related field is required.</li><li>5+ years working in the financial services industry, financial data management, or financial data remediation is required</li><li>Outstanding analytical, strategic and problem-solving skills with ability to break challenges into component parts</li><li>Strong written and verbal communications skills</li><li>Strong interpersonal skills, with evidence of working in collaboration across large organizations, including a proactive and no surprises approach in communicating issues/requests&nbsp;</li><li>Ability to lead and drive change through creative thinking and pragmatism</li><li>Ability to manage multiple activities simultaneously and plan / prioritize appropriately</li><li>Ability to work with stakeholders to elicit and formally define their requirements</li><li>Ability to understand the strategic direction and translate to the delivery of successful results in a complex and cross-functional organization</li><li>Strong ability to extract information by questioning, active listening, and interviewing</li><li>Proficiency in Microsoft Word, Excel, and PowerPoint</li></ul> Preferred Qualifications <ul><li>MBA or other advanced degree is a plus.</li><li>Broad experience of Finance or Operational/Technology function within Banking organization is preferred</li><li>Experience supporting transformation projects and organizational change initiatives a plus</li><li>Demonstrated experience working with financial products life cycles and associated data needs preferred</li><li>Experience with controller functions, financial books &amp; records, and/or regulatory reporting is a plus</li><li>Experience in data governance programs with knowledge of data governance principles and practices is a plus</li><li>Practical experience of data management, data remediation, front to back system data flows, data handling, transmission, aggregation and/or data modelling is a plus</li><li>Program and project management skills that include both Waterfall and Agile e.g. Scrum is a plus</li><li>We are currently working on a hybrid schedule consisting of 2-3 days in office and the remainder remote (specific details depend on location and business group). This is not a remote only role.</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>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>

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>Lead large scale Implementation of B2C Commerce providing oversight and hands on contribution to the design, development and Integration.</li><li>As a solutions architect, you are responsible for successfully designing and managing the delivery of the Ecommerce platform</li><li>Serve as a technology advisor to technical architects and lead developers</li><li>Lead project discovery workshops from the technology and solution design perspective</li><li>Recommend the best practices for implementing large scale distributed systems for Databases, caches, big data platforms</li><li>Communicate platform constraints, evaluate alternatives to define a scalable platform and meet business requirements</li><li>Participate in the development of conceptual and logical architecture</li><li>Optimise application performance and scalability</li></ul> Requirements: <ul><li>10+ years of Software Engineering Experience with at least 4 years of Ecommerce.com development experience</li><li>Hands on Cloud development and system administration experience</li><li>Solid understanding of CloudCraze architecture, data models, customizations &amp; extensions</li><li>Extensive experience to develop integrated execution plans including resources levelling, effort estimations, cross-team dependencies</li><li>Experience implementing large scale eCommerce solutions.</li><li>Strong knowledge of designing Architecture Diagrams and Data flows</li><li>Capable of recommending best practice solutions based on project and business needs and owning overall design of the technical application</li><li>Good verbal and written communication skills</li><li>Strong problem-solving skill</li></ul> Other Location: <ul><li>Bengaluru</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

Responsibilities: <ul><li>Act as primary technical contact assisting with the research, analysis and planning of implementation and maintenance of complex systems, internal consultant on intricate analysis and system administration task, lead technically involved projects, work under extreme task loads with full understanding of client business organization, practices, and requirements.</li><li>general objectives and will need to determine tasks, work with a high degree of independence, and act rapidly to prevent or correct errors.</li><li>represents the engineering organization and serves as primary organization contact on technically and functionally difficult aeronautical engineering activities.</li><li>work directly with technical and process experts to solve complex technical problems related to specific business needs.</li><li>expected to act as a subject matter expert related to business processes in this space.</li><li> </li></ul>&nbsp;Requirements: Education: <ul><li>Bachelor’s degree in a science, technical, engineering, or math discipline is required.</li></ul> Experience: <ul><li>At least 2 years of engineering, software development, configuration management, data management experience; demonstrated experience using a Product Life-cycle Management (PLM) system and PLM integration with CAD systems.</li><li>5 plus years with PLM is preferred.&nbsp;</li><li>Must have an engineering background with sufficient technical acumen to work effectively with technical engineering design teams.</li><li>Must have experience in CAD design and PLM application.</li><li>Must be able to produce technical specifications and documentation in support of business processes.</li><li>Must be proficient in configuration and change management methods as described in EIA-649 and as applicable to aviation civil authority and DoD needs.</li><li>Functional skills include: model based engineering (MBE), model based systems engineering (MBSE), product life-cycle management (PLM), configuration and change management (CM); engineering data management (EDM); aviation civil certification; DoD procurement and certification; testing, qualification and verification; and requirements management.</li></ul> Proficiency in any of the following applications is an advantage: <ul><li>3DEXPERIENCE Platform, CATIA Versions 5 or 6; familiarity with sheet metal, composites, fasteners, tubing, electrical, kinematics is a plus.</li><li>ENOVIA V6 (Versions 2013X, 2011X or Matrix One)</li><li>SIEMENS Unigraphics NX5 and TeamCenter 2007 or higher</li><li>Windchill PLM</li></ul>&nbsp;Other: <ul><li>This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR).</li><li>&nbsp;All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. Green Card Holder), Political Asylee, or Refugee.</li></ul>

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