08 Aug
|
APPGAMBiT
|
India
Responsibilities
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.
Valuable 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.
Robust analytical, problem-solving, and communication skills.
Work Location: In person
📌 Databricks Engineer Surat (India)
🏢 APPGAMBiT
📍 India