Description

You will design and manage large-scale data warehousing solutions and lead data processing pipelines. You own the integration of systems, enforce data governance policies, and optimize data modeling for analytics.

Responsibilities

• Design and manage data warehousing architectures using AWS, Snowflake, and PostgreSQL.
• Lead data processing and integration workflows using AWS AppFlow, S3, Lambda, and Fivetran.
• Define and enforce data governance and metadata management policies across multiple systems.
• Optimize data modeling and analytics reporting using LookML (Looker).
• Drive system integrations and collaborate with cross-functional teams to deliver data solutions.

Required Skills

• 7+ years of experience in Data Engineering and Data Warehousing.
• Hands-on expertise with PostgreSQL and Snowflake (including SnowSQL and Snowpipe).
• Proficiency in AWS services, specifically AppFlow, S3, and Lambda.
• Experience with ETL/ELT tools such as Fivetran.
• Strong background in data governance and metadata management.
• B.Tech or M.Tech in Computer Science or IT (Tier-1 preferred).

Preferred Skills

• Experience integrating Salesforce API and RESTful APIs.
• Domain knowledge in Financial Services or Loan Origination Systems (LOS).

Key Skills

Education

Any Gradute