Data Engineering Lead- Cloud ETL, Azure,Data Bricks,Snowflake, etc
Optum (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 28–42 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and support scalable ETL/ELT data pipelines using Databricks, Snowflake, Teradata, PySpark, and Airflow for enterprise data warehouse and analytics platforms.
- Lead small to medium-sized projects, mentor junior team members, and drive performance tuning, automation, and process improvements across data platforms.
- Ensure adherence to data governance, security, and development best practices in data solutions across collaboration with business and technical teams.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum 7 years of experience in Data Engineering, ETL Development, or Data Warehousing.
- Hands-on experience with Databricks, Snowflake, Teradata, Python/PySpark, UNIX, and Airflow for data pipeline orchestration.
- Solid understanding of Data Warehousing concepts, dimensional modeling, and SQL.
Ideal Candidate Profile
- Experienced leader capable of managing data engineering teams and leading projects focused on cloud ETL and modern data platforms.
- Strong background in designing and optimizing enterprise data warehouse solutions using Databricks, Snowflake, and orchestration tools like Airflow.
- Practitioner comfortable working in environments requiring adherence to data governance, security standards, and performance optimization.