Description

You will lead the design and delivery of large-scale data warehousing projects while coordinating onsite and offshore teams.

Responsibilities

• Design and implement Snowflake objects and data warehousing architectures.
• Build ETL pipelines and manage end-to-end data engineering workflows.
• Coordinate delivery between onsite and offshore teams to meet project milestones.
• Manage project stakeholders and business teams through regular communication.
• Mentor developers on engineering best practices and deployment processes.

Required Skills

• 5+ years of experience in data architecture or data engineering.
• Extensive experience with Snowflake and Snowflake objects.
• Strong knowledge of AWS Cloud and AWS data services.
• Proficiency in SQL Server, SSIS, SSAS, and SSRS.
• Experience building ETL pipelines, specifically using SnapLogic.
• Experience with data visualization tools such as Power BI or Sigma.
• Hands-on experience with Azure DevOps.
• Degree in any field (Any Graduate).

Preferred Skills

• Knowledge of GenAI, Alation, and data modeling, lineage, or cataloging.
• Experience within the private equity or finance domains.

Key Skills

Education

Any Graduate