Description

You will design and maintain scalable data pipelines using Snowflake, AWS, and dbt for banking and financial services.

You will own the end-to-end data engineering lifecycle, from ingestion to modeling and orchestration.

Responsibilities

• Build and optimize data pipelines using Snowflake features like Snowpipe, Streams, Tasks, and Dynamic Tables.
• Develop and maintain dbt models for dimensional and Data Vault data modeling.
• Orchestrate workflows using Airflow or Control-M.
• Leverage AWS services including S3, Glue, and Lambda for data processing.
• Ensure data quality and reliability within financial services environments.

Required Skills

• 8+ years of experience in data engineering.
• Expert proficiency in SQL and Snowflake.
• Hands-on experience with dbt for data transformation.
• Strong knowledge of AWS services (S3, Glue, Lambda).
• Proficiency in Airflow or Control-M for orchestration.
• Demonstrated experience with Data Modeling (Dimensional or Data Vault).
• Bachelor’s degree in Computer Science or related field.

Preferred Skills

• Experience in Banking or Financial Services domains.

Key Skills

Education

Bachelor’s degree