About the Role :

We are seeking a skilled Data Engineer to build and optimize scalable data pipelines in a cloud-based environment. This role focuses on transforming large datasets into reliable data assets and enabling efficient analytics through modern data engineering practices.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines using Python and SQL.

- Work with AWS services such as S3, Glue, Athena, and Redshift for data processing and storage.

- Develop and optimize ETL processes for structured and semi-structured data.

- Implement data models including dimensional modeling and schema design.

- Ensure data quality, integrity, and performance across pipelines.

- Collaborate with data scientists and analysts to support data-driven use cases.

- Optimize queries and pipelines for performance and scalability.

- Automate workflows and enhance existing data engineering frameworks.

Key Skills & Qualifications :

- 6 to 10 years of experience in Data Engineering or related roles.

- Strong proficiency in Core Python, SQL, and PySpark.

- Hands-on experience with AWS services (S3, Glue, Athena, Redshift).

- Experience working with Iceberg and/or Snowflake.

- Solid understanding of data modeling techniques (dimensional modeling, schema design).

- Experience in building and optimizing scalable data pipelines.

- Strong problem-solving skills and ability to work in fast-paced environments.

- Good communication and collaboration skills.