Description

Key Skills: SQL, Azure, DBT, ETL, Snowflake, Python, Data Engineer, Snowpipe, SnowSQL, Snowflake DB

Roles and Responsibilities:

• Design, develop, and maintain scalable ETL and ELT pipelines using Python, SQL, dbt, Fivetran, Snowflake, and Azure-based services.
• Build curated data models and data products in Snowflake and Microsoft Fabric for analytics and operational reporting.
• Implement data governance, access controls, classification, and policy enforcement using Immuta and Atlan.
• Establish data quality, observability, lineage, and reliability checks using Monte Carlo and related platform capabilities.
• Maintain source control and automated CI/CD workflows with Git, GitHub Actions, GitHub Actions SAST and open-source software integration, and Azure DevOps.
• Handle sensitive and regulated financial data in accordance with secure data-management and compliance requirements.

Skills Required:

• Two to five years of professional experience in data engineering, with strong hands-on capability in ETL, Python, and SQL.
• Experience with Azure or Microsoft Azure, Microsoft Fabric, Snowflake, dbt, and Fivetran for cloud data-platform development.
• Practical knowledge of data governance, security, cataloging, and access-management platforms including Immuta and Atlan.
• Experience with data observability or quality monitoring using Monte Carlo, plus Git-based development and Azure DevOps.
• Ability to develop secure, maintainable pipelines and automated workflows using GitHub Actions, including SAST and open-source software integration.

Good to Have:

• Experience with Fivetan.
• Background in wealth management, asset management, fintech, or another financial-services environment.

Education: B.Tech, B.E., B.Sc., or equivalent practical experience in computer science, information systems, engineering, mathematics, statistics, or a related technical field

Key Skills

Education

Any Graduate