We are seeking a dedicated Data Engineer to join our growing team. In this role, you will be responsible for building robust data architectures that drive business intelligence. We value technical precision and a team-oriented spirit, offering a workplace that respects work-life balance and individual growth.

Your primary focus will be to design and develop scalable ETL/ELT pipelines using Databricks and Snowflake. You will architect data lakehouse solutions following Medallion architecture and implement Lambda patterns for batch and real-time processing. A key part of your role involves maintaining a single source of truth across enterprise platforms and optimizing query performance to ensure data reliability.

Databricks Engineer,Snowflake,Azure,ETL/ELT,APIs
Proficiency in Databricks (PySpark/Spark SQL) and Snowflake




Experience designing ETL/ELT pipelines and Medallion architecture
Ability to implement Lambda architecture for batch and streaming data
Experience with data ingestion from databases, APIs, and streaming platforms
Familiarity with CI/CD practices and infrastructure-as-code
Knowledge of orchestration tools such as Airflow, ADF, or Databricks Workflows

Preferred Skills
Experience with Informatica, Streamsets, or similar ETL tools
Familiarity with Delta Live Tables (DLT) or Unity Catalog
Understanding of data governance and cataloging tools
Experience with data quality validation frameworks

📌 Data Engineer Karamba (India)
🏢 R Systems
📍 India