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)
🏢 R Systems
📍 Karamba