Data and Analytics Engineer in India, India

... solutions . This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams . Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous ...

• Hybrid

... frameworks, metadata) that data marts are built on. - Work closely with software engineering, analytics, operations, business and product teams, to understand and meet their platform and data requirements. - Ensure that all platform and data warehouse activities adhere to regulatory standards, data privacy rules, and company ...

1400

... new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven ...

Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...

... pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake warehouse performance and cost (query tuning, clustering, resource monitors) Mentor junior engineers, including on how to use AI ...

• On-site

... design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering tools and platforms. ...

• Remote
• Contract

... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...

... including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering experience ...

... Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). - Proficiency in SQL and programming languages like Python or Scala. - Experience with Azure cloud data services. ...

... production agents such as FinOps Sentinel and Governed Analytics. Manage agent state and memory persistence using Databricks-native storage (Delta Lake, Unity Catalog) and integrate with external databases (CosmosDB, Neo4j) as required by agent workflows. Collaborate with AI Engineers on agent architecture decisions and ensure all ...

... Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain. Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object ...

... data availability . Implement data governance , version control, and CI/CD best practices. Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements . Why Join KANINI? Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025 ...

... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)

... understanding of stocks, bonds, options, and financial markets. Apply advanced Microsoft Excel skills, including PivotTables and VLOOKUP, alongside strong numerical and analytical skills and attention to detail. Use additional pricing and analytics platforms beyond Bloomberg and Reuters, such as FactSet and ICE Data. Hold an ...

... models, segmentation, forecasting, and experimentation initiatives where relevant.- Establish strong standards for data quality, governance, reporting accuracy, and analytics processes.- Work closely with Data Engineering/Technology teams to improve data availability, architecture, pipelines, and analytics infrastructure.- ...

Private Permanent employment Flexible hours

• Hybrid

... software engineering, with proven leadership in AI/GenAI projects.- Strong technical foundation in Python, cloud platforms (AWS/Azure/GCP), LLMs, Agentic AI tooling, and MLOps/LLMOps.- Experience in data engineering and analytics fundamentals (pipelines, warehousing, BI tools).- Excellent communication, negotiation, and stakeholder ...

• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...

• Full-time

... cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering practices is an advantage. - Strong understanding of security, reliability, performance, and operational best practices. - Experience working with cross-functional ...

... of data warehousing and Cognos system administration. The position involves effective understanding of business needs combined with a knowledge of pertinent data to design reporting solutions that are meaningful and well thought out based on business requirements, standards and best https://jobeax.com/link/FNdjbQ9nrPNcDOxi ...