This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations.
- Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs.
- Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions.
- Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes.
- Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments.
- Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics.
- Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud
- Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have 1.
Client Engagement
Experience and collaboration with cross-functional teams
- Data Engineering background in Databricks
- Capable of working effectively as an individual contributor or in cooperative team environments
- Effective communication and thought leadership with proven record.
Candidate Profile
- Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
- 3+ years experience must be in Data engineering.
- Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc.
- Prior experience in managing and delivering end to end projects
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe.