AVP, Digital Analytics

Sr. Application Developer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Senior Data Scientist - Machine Learning

VP - Payment Analytics

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: <ul><li>Demonstrate accountability by ensuring timely and high-quality project delivery.</li><li>Be result driven, consistently achieving measurable outcomes and meeting goals.</li><li>Act as a team player, collaborating effectively with cross-functional teams.</li><li>Exhibit a can-do mentality, tackling challenges with a proactive and positive approach.</li><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Extensive experience with .NET Framework and .NET Core.</li><li>Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.</li><li>Experience with DevOps practices and tools such as Docker and CI/CD pipelines.</li><li>Knowledge of SQL Server and / or PostgreSQL for database design and management.</li><li>Hands-on experience with Kubernetes for container orchestration and management.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Minimum of 5 years of related work experience in software development using .NET technologies.</li></ul>

Responsibilities: <ul><li>Manage AR related activities in SAP including Customer Onboarding (as per policy), customer master database management, Credit Limit mapping, Pricing database update, Sales order release</li><li>Manage AR overdue status, claims processing, collection status, provisioning of doubtful debts, bad debts</li><li>Managing regularly AR balances reconciliations and liaison with commercial team and customers, consultants etc.</li><li>Support at month end for accruals, movements, documentation etc.</li><li>Support in statutory and internal audits related to above areas</li></ul> Requirements: <ul><li>Minimum 3 Years experience of SAP S4 for Sales / AR related Module</li><li>Minimum 3 Years experience of Alco Bev Industry – AR Management standpoint</li><li>Strong analytical skills with the ability to interpret data and drive business decisions.</li><li>Advanced proficiency in Excel and data analytics for reporting, forecasting, and planning.</li><li>Process-driven mindset, ensuring structured execution and business predictability.</li></ul>

Responsibilities: Preventive Maintenance &amp; Operations: <ul><li>Coordinate with Production Scheduling and Value Stream teams to plan PM activities at least 72 hours in advance</li><li>Develop and manage PM schedules within CMMS systems</li><li>Ensure PMs include tasks, BOM, OEM manuals, images, and execution details</li><li>Establish PM audit processes to ensure effectiveness</li><li>Implement visual systems to communicate PM schedules to production teams</li><li>Track and report PM performance metrics (On-Time completion, Schedule Adherence)</li><li>Ensure proper closure of PM work orders to support MTBF, MTTR, and reliability improvements</li><li>Develop PM kitting processes to improve efficiency</li></ul> Leadership &amp; Team Management: <ul><li>Lead, mentor, and manage maintenance teams</li><li>Recognize and reward employee performance</li><li>Drive adherence to company policies and operational procedures</li><li>Support hiring, staffing, and equal opportunity practices</li><li>Conduct performance evaluations and identify training needs</li></ul> Safety, Compliance &amp; Continuous Improvement: <ul><li>Ensure compliance with OSHA, PPE, plant safety systems, ISO, and TS 16949 standards</li><li>Lead TPM initiatives and continuous improvement programs</li><li>Ensure timely completion of safety and quality engagement activities</li></ul> Budget &amp; Stakeholder Management: <ul><li>Manage departmental budgets and cost-saving initiatives</li><li>Prepare reports, maintain records, and handle communications</li><li>Collaborate with external suppliers and OEMs for technical support and training</li></ul>&nbsp;Requirements: Education &amp; Experience: <ul><li>Associate’s Degree + 8+ years of maintenance &amp; leadership experience</li><li>OR</li><li>Bachelor’s Degree in Engineering + 5+ years of experience</li><li>OR</li><li>Equivalent combination of education and experience</li></ul> Technical Expertise: <ul><li>Minimum 5 years of CMMS/database administration experience (Maximo, MP2, Maintenance Connection, eMaint)</li><li>Strong technical writing and documentation skills</li><li>Deep knowledge of maintenance systems, tools, and methodologies</li></ul> Hands-On Experience With: <ul><li>PLC systems</li><li>Electric motors and controllers</li><li>Mechanical, pneumatic, and hydraulic systems</li><li>Vacuum pumps and plant equipment</li></ul> Preferred Skills: <ul><li>Microsoft Office (Excel, Word, Outlook)</li><li>Lean Manufacturing, Six Sigma, 5S (Green Belt preferred)</li><li>Understanding of MTBF, MTTR, and TPM programs&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and execute a clear, actionable, and time-bound analytics roadmap, outlining key milestones, resources, and timelines to achieve payment analytics objectives.</li><li>Lead the design and delivery of comprehensive analytics across all payment channels, products, and features, providing end-to-end visibility into the payment lifecycle.</li><li>Identify, assess, and bridge data gaps by collaborating with business, technology, operations, and data engineering teams to ensure complete, accurate, and timely payment data capture.</li><li>Translate complex payment data into actionable insights and strategic recommendations that optimize the payment process, improve customer experience, and drive business growth.</li><li>Partner closely with Tech &amp; Ops Payments, Product Analytics, Payment Train, Customer Experience, and other key stakeholders to embed analytics into decision-making at all levels.</li><li>Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.</li><li>Cultivate and maintain strong relationships across teams to effectively communicate analytics value and drive enterprise-wide adoption.</li><li>Support regulatory review and governance</li><li>Promote advanced analytics practices, including proof-of-concept initiatives, to keep the organization at the forefront of payment analytics capabilities.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 10+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 12+ years of relevant analytics/data science experience.</li><li>8+ years of hands-on Experience in SQL /SAS with proven ability to leverage advanced algorithms and be efficient in handling complex/large data;</li><li>3+ years of experience in BI tools, e.g. Tableau etc.</li><li>5+ years of experience in managing teams with ability to motivate team, drive change, create a culture of learning, innovation and recognition</li><li>Ability to solve complex technical and people-oriented problems with minimal supervision</li><li>Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills</li><li>Strong written/oral communication &amp; stakeholder management skills</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

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39 sql database Jobs found

AVP, Digital Analytics

Sr. Application Developer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Senior Data Scientist - Machine Learning

VP - Payment Analytics

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

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39 sql database Jobs found

AVP, Digital Analytics

Sr. Application Developer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Senior Data Scientist - Machine Learning

VP - Payment Analytics

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.