Senior Databricks Data Engineer
Saarthee (company site, opens in a new tab)6–8 yrsBengaluruOn-siteDirect career pageEst. 16–30 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable batch and real-time data pipelines using Databricks, PySpark, SQL, and AWS cloud technologies.
- Implement data governance and access controls with Unity Catalog and develop data models and warehousing solutions.
- Collaborate with stakeholders to translate business requirements into technical solutions and drive best practices in code quality, CI/CD, and testing.
Minimum Requirements
- 6–8 years of Data Engineering experience.
- Strong hands-on expertise with Databricks, Delta Lake, Unity Catalog, PySpark, and SQL.
- Experience with AWS cloud services including S3, IAM, Lambda, EC2, and Redshift.
- Bachelor’s or Master’s degree in Engineering, Technology, or Computer Applications (BE/B.Tech/M.Tech/MCA or equivalent).
Ideal Candidate Profile
- Experienced in designing and optimizing high-performance data pipelines in cloud environments using Databricks and AWS.
- Skilled in data governance frameworks and managing access control in enterprise data platforms.
- Capable of mentoring peers and leading continuous improvement initiatives while collaborating effectively with stakeholders.