Data Engineer

We are looking for an experienced Data Engineer with 4+ years of hands-on experience in Azure, Databricks, Lakebase, and Snowflake.

The candidate will be responsible for developing scalable data pipelines, data integration solutions, and cloud-based data platforms.

Key Responsibilities

Design and develop scalable data pipelines and ETL/ELT workflows Work extensively with Azure and Databricks for data engineering and processing.

Develop and manage solutions using Databricks Lakebase.

Work with Snowflake for data warehousing, data transformation, and analytics.

Optimize data pipelines, queries, and processing performance.

Implement data quality, validation, monitoring, and error handling.

Collaborate with data scientists, analysts, and application teams.

Required Skills

4+ years of experience in Data Engineering.

Strong hands-on experience with Azure and Databricks.

Experience with Databricks Lakebase.

Good working knowledge of Snowflake.

Strong SQL and Python skills.

Experience with ETL/ELT and data pipeline development.

Understanding of cloud data architecture and data warehousing.Good to Have Experience with Azure Data Factory / Azure Data Lake.

Experience with Databricks Spark / PySpark.

Knowledge of CI/CD and Git.

Understanding of data governance and security.

Job Type: Full-time

Pay: ₹800,000.00 - ₹1,500,000.00 per year

Experience:

• Data Engineer: 3 years (Preferred)

Work Location: In person