Data Engineer
Core
Design, build, and maintain data pipelines, data lakes, and data warehouses on AWS to support business stakeholders and technical teams.
Role type
Data Engineer
Builds
Data pipelines, data lakes, and data warehouses on AWS
Domain
Cloud data infrastructure (AWS)
Deliverable
production ML models | infrastructure
Required skills
AWS services (S3, Glue, Spark, Athena, Redshift, RDS, Lambda, Lake Formation), SQL, Python or Scala, infrastructure-as-code (Terraform, CloudFormation), data governance and security
Preferred skills
CI/CD practices, schema design, query performance optimization
Technologies
AWS, S3, Glue, Spark, Athena, Redshift, RDS, Lambda, Lake Formation, Terraform, CloudFormation, PostgreSQL, Oracle
Responsibilities
Design and build data pipelines and integrations; develop and manage data lakes and warehouses; optimize data storage and query performance; implement CI/CD for data infrastructure; ensure data quality, security, and governance; document data models and architecture
Seniority
Mid-Senior (5-7 years experience)
