Description

You will build, maintain, and transition unified data graphs for internal consumers, ensuring reliable data delivery from source to insight.

This role is remote.

Responsibilities

• Model and map data structures to support defined business use cases.
• Build and manage unified data graphs, including transitioning active production graphs from retiring teams.
• Re-map backend data sources as existing systems retire or change.
• Write complex Python modules for custom ETL workflows and batch/real-time pipelines.
• Collaborate with Product, Data Science, and Analytics teams to deliver just-in-time context.

Required Skills

• 10+ years in data engineering, ETL, and data architecture.
• Hands-on experience with Airflow and MuleSoft.
• Strong SQL skills with Snowflake and other relational databases.
• Proficiency in Python for data processing and automation.
• Experience with dbt for data transformation and modeling.
• Familiarity with AWS or GCP and distributed architectures.
• Knowledge of data quality, monitoring, and pipeline orchestration.

Preferred Skills

• Experience with Salesforce platforms, data models, Flows, and Apex.
• Background in Informatica ETL tools.

Key Skills

Education

Any Graduate