We are looking for a skilled Databricks Data Engineer to design, build, and optimize scalable data solutions using Databricks and Spark. The role involves working on large-scale data modernization initiatives to support analytics and data-driven decision-making.

Key Responsibilities :

- Design, develop, and maintain data pipelines using Databricks

- Build scalable data processing workflows using Spark (PySpark/Spark SQL)

- Ingest, transform, and load data from multiple sources into data lakes

- Develop data models and schemas for reporting and analytics

- Ensure data quality, performance optimization, and security

- Collaborate with business and technical stakeholders

- Monitor and troubleshoot data pipeline issues

Required Skills :

- Strong hands-on experience with Databricks and Apache Spark

- Proficiency in Python and SQL

- Experience with Delta Lake

- Exposure to cloud platforms (Azure / AWS / GCP)

- Knowledge of ETL/ELT and data warehousing concepts