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Job Description
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Design and develop scalable data pipelines using
Databricks and SQL for analytics and reporting.
Experience: 5–8 years
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Key Responsibilities
- Build ETL/ELT pipelines using Databricks (PySpark)
- Write optimized SQL queries for data transformation and analysis
- Work with Delta Lake / Lakehouse architecture
- Perform data ingestion, cleansing, and validation
- Optimize query performance and data workflows
Skills Required
- Databricks, Apache Spark
- Strong SQL expertise
- Python / PySpark
- Data modeling concepts
- Cloud platforms (Azure/AWS/GCP)
Good To Have
- Azure Data Factory / Airflow
- Power BI / Tableau
- Databricks certification
