Senior Data Engineer-Data Bricks, Airflow, Snowflake, AI
Optum (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using Databricks (Spark/PySpark), Snowflake, and Apache Airflow workflow orchestration.
- Build, optimize, and deploy REST APIs and data services using Python frameworks and Azure-native cloud services focusing on performance, reliability, and cost-efficiency.
- Participate in architecture design, troubleshoot production issues, ensure data quality, monitoring, and collaborate with cross-functional teams to enable downstream data consumption.
Minimum Requirements
- Bachelor's degree (B.Tech./MCA/Graduation) required.
- 4+ years of total professional experience in data engineering or related fields.
- Hands-on experience with Databricks (Spark/PySpark), Snowflake, Apache Airflow, Python programming, and Microsoft Azure cloud services including cloud-native architecture.
- Experience building and hosting REST APIs using Python frameworks and deploying/managing them on Azure native services.
Ideal Candidate Profile
- Experienced in independently owning end-to-end data engineering projects with strong design and delivery capabilities.
- Demonstrated competence in modern cloud data architecture, ELT pipelines, data warehousing, and performance tuning especially on Snowflake.
- Proficient in automation tools, CI/CD pipelines, and version control (Git) aligned to scalable, production-grade cloud deployments.