- Develop and maintain ETL/ELT pipelines using Databricks.
- Build and optimize data pipelines with PySpark and SQL.
- Ingest, transform, and process data from multiple sources.
- Collaborate with cross-functional teams to deliver data solutions.
- Monitor, troubleshoot, and optimize pipeline performance.
- Ensure data quality, reliability, and documentation.
Requirements
- 1–2 years of experience in Databricks/Data Engineering.
- Hands-on experience with Databricks, PySpark, Python, and SQL.
- Positive understanding of ETL/ELT processes and Delta Lake.
- Familiarity with Azure, AWS, or GCP is a plus.
- Knowledge of Git and basic data warehousing concepts.
- Strong analytical, problem-solving, and communication skills.
Work Location: In person
📌 Databricks engineer (India)
🏢 APPGAMBiT
📍 India
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