Description

You will own the stability and performance of data operations across SQL Server, Snowflake, DBT, and Azure Data Factory.

This role is on-site.

Responsibilities

• Monitor and troubleshoot daily Airflow-orchestrated ETL pipelines to ensure data integrity.
• Investigate and resolve pipeline failures, errors, and complex data quality issues across multi-system workflows.
• Handle API-based data tasks and maintain cross-system integrations.
• Communicate technical issues and operational updates to BI, Data Science, and business stakeholders.
• Support data operations for SQL Server and Snowflake environments.

Required Skills

• 5+ years of hands-on Data Engineering or Data Operations experience.
• Strong SQL skills with deep experience in RDBMS (MSSQL, Postgres).
• Proven expertise with Apache Airflow for workflow orchestration.
• Hands-on experience with cloud data tools, specifically Snowflake and Azure Data Factory (ADF).
• Ability to troubleshoot complex, multi-system data workflows.
• Strong problem-solving mindset with a focus on ownership.
• Effective communication skills for cross-functional collaboration.

Preferred Skills

• Experience with DBT for data transformation.

Key Skills

Education

Any Graduate