Key Responsibilities :

- Design, build, and optimize scalable ETL/ELT data pipelines.

- Develop and maintain Data Warehouse and Data Lake solutions.

- Process and transform large datasets using Python, SQL, and Apache Spark.

- Ensure high standards of data quality, governance, security, and compliance.

- Collaborate with Data Scientists, Analysts, and Engineering teams to deliver business-driven data solutions.

- Monitor, troubleshoot, and optimize data workflows for performance and reliability.

- Integrate data from multiple structured and unstructured sources using cloud-native technologies.

Required Skills :

- 6 to 8 years of experience in Data Engineering.

- Strong hands-on expertise in AWS Data Services.

- Excellent programming skills in Python and SQL.

- Hands-on experience with Apache Spark.

- Strong knowledge of Data Warehousing and Data Lake architectures.

- Experience designing and maintaining ETL/ELT pipelines.

- Understanding of data governance, security, and best practices.

- Strong analytical, troubleshooting, and problem-solving skills.