Job Summary
Job type
Full time
Experience:
Minimum 3 to 5 years of professional experience after completing a bachelor’s degree.

Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks.
Build and optimize ETL/ELT processes for enterprise data platforms.
Work with PySpark, Spark SQL, Python, and Delta Lake.
Implement data governance and access controls using Unity Catalog.
Integrate data from multiple sources across cloud environments.
Improve the performance, reliability, and scalability of data pipelines.
Collaborate with international clients and cross-functional teams.
Follow best practices for Git, CI/CD, documentation, and code quality. Required Skills




Databricks knowledge or a Databricks certification will be given preference.
PySpark and Spark SQL
Python and SQL
Delta Lake
Unity Catalog
ETL/ELT development
AWS, Azure, or Google Cloud
Apache Airflow or similar orchestration tools
Git and CI/CD Additional Requirements
Strong qualified English communication skills
Ability to participate in client-facing discussions
Robust analytical and problem-solving abilities
Experience working in collaborative delivery environments

📌 Data Engineers Vadodara
🏢 Prakash Software Solutions
📍 Vadodara