Description

You will build and operate the cloud-native data ecosystem, ensuring data flows reliably, securely, and at scale.

This role is remote.

Responsibilities

• Design and operate batch and near-real-time ingestion pipelines using AWS-native services.
• Implement CDC-based ingestion patterns for databases, SaaS platforms, and external partners.
• Standardize ingestion frameworks for files, APIs, event streams, and cross-account data sharing.
• Define and maintain raw and staging data models that preserve source fidelity and lineage.
• Automate infrastructure using AWS CDK and integrate CI/CD pipelines via CodeCommit and CodePipeline.

Required Skills

• 5+ years of experience in data engineering with a focus on data ingestion and integration.
• Hands-on experience with AWS Lambda, Step Functions, MWAA, Glue, and Redshift.
• Proficiency in Python and familiarity with data serialization formats (JSON, Parquet, Avro).
• Experience implementing infrastructure as code using AWS CDK.
• Strong understanding of change data capture (CDC) concepts and ingestion patterns.
• Experience building ingestion pipelines for APIs, files, databases, and event-based systems.
• Working knowledge of CI/CD, version control, and automated deployments.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative field.

Key Skills

Education

Any Graduate