Job Summary
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Job type
Full-time
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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 professional 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