Description

You will own the design, implementation, and maintenance of core data pipelines.

Responsibilities

• Manage and query data in Snowflake and Databricks, handling table lifecycle and data deprecation.
• Develop and maintain ETL workflows and automation scripts using Python.
• Build, manage dependencies for, and tune DAGs within Airflow.
• Migrate legacy data platforms to modern infrastructure and debug upstream data source failures.
• Document pipelines, alert resolutions, and own the operational handoff of Gold and People Analytics assets.

Required Skills

• 5+ years of professional experience in data engineering.
• Advanced proficiency in SQL, specifically with Snowflake and Databricks.
• Expertise in Python for ETL scripting and automation.
• Hands-on experience with Airflow for workflow orchestration.
• Familiarity with CI/CD practices and Git for version control.
• Experience with data governance principles and ownership models.
• Ability to perform root cause analysis on pipeline failures and alerts.
• Experience interacting with Salesforce data sources.

Key Skills

Education

Any Gradute