Description

You will architect and maintain scalable data pipelines and warehouses on AWS.

This role is remote.

Responsibilities

• Architect and implement data pipelines using AWS Glue, Lambda, EMR, Step Functions, and Redshift.
• Build and optimize data lakes and warehouses on Amazon S3, Redshift, and Athena.
• Develop Python-based ETL/ELT frameworks and reusable data transformation modules.
• Integrate multiple data sources (RDBMS, APIs, Kafka/Kinesis, SaaS systems) into unified data models.
• Define and enforce data governance, security, and compliance best practices including IAM policies and encryption.

Required Skills

• 11+ years of professional experience in data engineering.
• Expert proficiency in AWS services: Glue, Lambda, EMR, S3, Redshift.
• Strong development skills in Python.
• Experience with Kafka and API integration patterns.
• Familiarity with data modeling and schema design for optimization.
• Experience implementing CI/CD pipelines for data workflows (AWS CodePipeline, GitHub Actions).
• Knowledge of data quality, observability, and lineage tracking.
• Familiarity with RDBMS systems.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree