Description

You will build and optimize data infrastructure and data pipelines.

This role is hybrid.

Responsibilities

• Develop Python-based ETL/ELT frameworks and reusable data transformation modules.
• Integrate multiple data sources, including RDBMS, APIs, Kafka/Kinesis, and SaaS systems, into unified data models.
• Lead data modeling, schema design, and partitioning strategies to optimize performance and cost.
• Drive data quality, observability, and lineage using AWS Data Catalog, Glue Data Quality, or third-party tools.
• Implement CI/CD pipelines for data workflows using AWS CodePipeline, GitHub Actions, or Cloud Build.

Required Skills

• 8+ years of professional experience in data engineering.
• Strong proficiency with Python.
• Experience with AWS services.
• Knowledge of RDBMS systems.
• Experience integrating data via APIs and Kafka.
• Familiarity with CI/CD principles and tooling.
• Ability to define and enforce data governance and security practices.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• 3+ years tenure in previous data engineering roles.

Key Skills

Education

Bachelor's degree