Data Engineer

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 Code Commit and Code Pipeline
Optimize ingestion workflows for scalability, cost efficiency, and fault tolerance
Support Agile delivery and collaborate closely with offshore engineering teams

Required Qualifications
Bachelor’s or Master’s 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