Description

Key Skills: Python, SQL, PySpark, AWS, Snowflake, DBT, ETL/ELT, AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Snowpipe, Streams, Tasks

Roles & Responsibilities:

• Design and develop end-to-end ETL/ELT pipelines for loan, customer, and repayment datasets.
• Build and maintain data ingestion and transformation workflows using Python, SQL, PySpark, and AWS services.
• Implement incremental data processing using CDC patterns and Snowflake-native orchestration features.
• Develop reusable DBT models, macros, snapshots, and packages for business transformations.
• Support secure, reliable data processing across Snowflake and AWS-based data pipelines.

Experience:

• Strong hands-on experience in Python and SQL for data pipeline development.
• Experience with Snowflake, AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
• Ability to build scalable ingestion and transformation workflows for large datasets.
• Experience with DBT, Snowpipe, Streams, Tasks, and stored procedure-based orchestration.
• 2 - 3 years of relevant experience in Python-based data engineering or ETL development.

Good to Have:

• MySQL

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field

Key Skills

Education

Any Graduate