Sr. Data Engineer (HYBRID)
Core
Design, implement, and maintain scalable data architecture, pipelines, and modeling strategies to power an enterprise data warehouse on AWS.
Role type
Senior hands-on IC data engineer
Builds
Enterprise data warehouse, data pipelines, and integrated tools for self-service analytics
Domain
Cloud data engineering (AWS)
Required skills
SQL, Python, AWS Redshift, AWS Glue, AWS Athena, AWS EMR, AWS S3, AWS Lambda, AWS EC2, AWS DynamoDB, AWS Redis, dbt, dimensional modeling, data quality checks, data lineage, Git, technical documentation
Preferred skills
Data science partnership, Agile sprint planning, code reviews, mentoring peers, automation, industry trend analysis
Technologies
AWS, Redshift, Glue, Athena, EMR, S3, Lambda, EC2, DynamoDB, Redis, dbt, Git
Responsibilities
Design and maintain scalable data architecture and pipelines; Build and manage data models and schemas; Monitor and optimize data jobs for high availability; Implement data quality checks and validation rules; Partner with Data Science and Analytics teams to deliver reliable datasets; Drive improvements in data lineage and cataloging; Create and maintain technical documentation and version-controlled workflows.
Seniority
Senior, hands-on IC
