Databricks Developer
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Role
Senior Databricks Engineer
Role Summary
Senior Databricks Engineer with strong expertise in developing optimizing and maintaining data engineering solutions on the Databricks platform. The candidate should have deep experience with Apache Spark (PySpark) Databricks notebooks Delta Lake and Spark performance optimization. This role is focused on Spark-native data engineering rather than ETL tool development.
Must Have Skills
- Strong hands-on experience with Databricks notebooks Jobs Workflows Repos and Unity Catalog
- Strong expertise in PySpark and Spark SQL
- Experience building scalable Spark-based data pipelines
- Strong understanding of Spark DataFrames joins aggregations window functions and distributed processing
- Experience with Delta Lake (MERGE OPTIMIZE ZORDER VACUUM Change Data Feed)
- Hands-on experience in Spark job performance tuning
- Experience optimizing partitions shuffles caching memory usage and cluster utilization
- Experience developing batch and incremental data processing pipelines
- Strong programming skills in Python PySpark and SQL
- Experience working on Azure Databricks AWS Databricks or GCP Databricks
- Experience with Git CI/CD code reviews testing and production deployments
Good to Have Skills
- Experience with Lakehouse and Medallion architecture
- Knowledge of Data Modeling and Data Governance
Nice to Have Skills
- Experience with Delta Live Tables (DLT)
- Experience mentoring teams or leading technical discussions
- Experience with Photon and Databricks Asset Bundles
- Experience with Cluster Policies and Workspace Administration
Location: Pune Hyderabad Bhopal
Required Experience:
Senior IC