Description

You will build and maintain scalable data infrastructure to support analytics consumption.

This role is remote.

Responsibilities

• Design and maintain data ingestion pipelines from internal and third-party APIs.
• Implement ETL/ELT workflows to transform, clean, and structure data.
• Manage and optimize database schemas and storage within Snowflake and Postgres.
• Utilize Databricks for data processing, orchestration, and pipeline development.
• Monitor pipelines, troubleshoot discrepancies, and ensure data integrity for BI teams.

Required Skills

• 4–6 years of experience in data engineering focusing on API integration and ETL/ELT.
• Proficiency with Databricks for data processing and pipeline development.
• Expertise in designing and optimizing data structures within Snowflake environments.
• Experience managing and optimizing relational databases, specifically Postgres.
• Strong ability to build scalable API-driven data pipelines.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Preferred Skills

• Experience with data quality monitoring and automated testing frameworks.

Key Skills

Education

Any Graduate