Shared jobSenior Databricks Data Engineer
Bengaluru · Senior
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Job description
- Design and develop scalable batch and real-time data pipelines using Databricks, PySpark, and SQL
- Optimize SQL queries and PySpark workloads for performance and cost efficiency
- Implement data governance and access controls using Unity Catalog
- Build cloud-based data solutions leveraging AWS services
- Develop and maintain data models, warehousing solutions, and analytics datasets
- Collaborate with stakeholders to gather requirements and deliver technical solutions
- Drive best practices around code quality, CI/CD, testing, and version control
- Mentor team members and support continuous improvement initiatives
- Troubleshoot and resolve data platform and pipeline issues
- 6–8 years of Data Engineering experience
- Strong hands-on experience with Databricks, Delta Lake, and Unity Catalog
- Advanced proficiency in PySpark and SQL
- Experience with AWS cloud services (S3, IAM, Lambda, EC2, Redshift, etc.)
- Strong understanding of data warehousing, dimensional modeling, and ETL processes
- Experience building scalable batch and streaming data solutions
- Excellent communication and stakeholder management skills
- BE/B.Tech/M.Tech/MCA or equivalent qualification
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