Data Engineer – Databricks

Experience: 5–7 Years
Location: As per requirement

We are looking for an experienced Data Engineer – Databricks with strong expertise in designing, developing, and maintaining scalable data pipelines and data engineering solutions using the Databricks ecosystem.

Key Responsibilities

- Design and develop scalable ETL/ELT data pipelines using Databricks.
- Develop solutions using PySpark, Spark SQL, and Python.
- Work with Delta Lake for reliable and scalable data processing.
- Build and optimize data pipelines using Databricks Workflows.
- Perform data transformation, cleansing, validation, and optimization.
- Work with cloud data platforms such as Azure/AWS.
- Optimize Spark jobs, queries, and data processing performance.
- Implement data quality, monitoring, and error-handling mechanisms.




- Collaborate with Data Scientists, Analysts, and other engineering teams.

Required Skills

- 5–7 years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Strong PySpark / Apache Spark / Spark SQL skills.
- Excellent Python and SQL knowledge.
- Experience with Delta Lake and Databricks Workflows.
- Experience in ETL/ELT and data pipeline development.
- Good understanding of data warehousing and data lake architecture.
- Experience with Git and CI/CD.
- Cloud experience in Azure or AWS is preferred.

Pay: ₹50,000.00 - ₹90,000.00 per month

Perks:

- Health insurance
- Provident Fund

Work Location: In person

📌 Data Engineer – Databricks (India)
🏢 ZecData Technology
📍 India