Description

You will design, build, and maintain data integration workflows and optimize data models in Snowflake.

This role is hybrid.

Responsibilities

• Develop and optimize data models, transformations, and queries in Snowflake using SQL and PL/SQL.
• Design, build, and maintain integration workflows in SnapLogic for reliable data ingestion and movement.
• Implement data processing logic and automation using Python for pipeline support and operational tasks.
• Collaborate with data consumers to translate requirements into efficient SQL-based solutions.
• Troubleshoot pipeline issues, validate data quality, and improve performance and reliability of data flows.

Required Skills

• 5+ years of relevant experience in data engineering or software development.
• Strong proficiency in Snowflake for building and maintaining data solutions.
• Expertise in SQL and PL/SQL for writing performant transformations and stored logic.
• Experience designing and operating data integration workflows using SnapLogic.
• Proficiency in Python for automation and supporting data processing tasks.
• Understanding of ETL processes and pipeline management.

Key Skills

Education

Any Graduate