Description

You will design and maintain scalable data pipelines and architectures, focusing on ETL processes, data modeling, and orchestration across cloud environments.

This role is remote.

Responsibilities

• Build and optimize batch and real-time data pipelines using Python, Airflow, and MuleSoft.
• Develop complex ETL workflows and data transformations using dbt and Snowflake.
• Manage Salesforce data models, flows, and Apex integrations.
• Implement data quality checks, monitoring, and orchestration frameworks.
• Collaborate with Product, Data Science, and Analytics teams to deliver data solutions.

Required Skills

• 15+ years of experience in data engineering and data architecture.
• Strong proficiency in SQL with Snowflake and other relational databases.
• Hands-on experience with Airflow for pipeline orchestration.
• Expertise in Python for writing custom ETL modules.
• Experience with ETL tools, preferably Informatica.
• Familiarity with AWS or GCP and distributed/event-driven architectures.
• Deep understanding of data warehousing, data modeling, and big data processing.

Preferred Skills

• Experience with Salesforce Flows and Apex development.

Key Skills

Education

Any Gradute