Key Responsibilities

Design, build, and operate robust ingestion pipelines for batch and near-real-time data 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
Partner with source system owners to define ingestion SLAs, contracts, schemas, and change management strategies
Ensure ingestion pipelines meet data quality, observability, and reliability standards
Implement metadata capture, schema evolution handling, and data validation at ingestion time
Automate infrastructure using AWS CDK and integrate CI/CD pipelines via CodeCommit and CodePipeline
Optimize ingestion workflows for scalability, cost efficiency, and fault tolerance
Support Agile delivery and collaborate closely with offshore engineering teams

Required Qualifications

Bachelors or Masters degree in Computer Science, Engineering, or a quantitative field
5+ years of experience in data engineering, with a strong focus on data ingestion and integration
Strong understanding of change data capture (CDC) concepts and ingestion patterns
Hands-on experience with AWS services such as Lambda, Step Functions, MWAA, Glue, Redshift
Experience building ingestion pipelines for APIs, files, databases, and event-based systems
Proficiency in Python and familiarity with data serialization formats (JSON, Parquet, Avro)
Experience implementing infrastructure as code using AWS CDK
Working knowledge of CI/CD, version control, and automated deployments
Strong collaboration skills and comfort working with distributed offshore teams
Detail-oriented, proactive, and ownership-driven mindset

Data Engineer