Senior Data Warehouse Engineer
Core
Architect, maintain, and optimize scalable batch and streaming pipelines on AWS; monitor and support large enterprise data ecosystems using Snowflake and Databricks.
Role type
Senior Data Warehouse Engineer
Builds
Enterprise Data Warehouses (EDW) and modern data lake architectures
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models
Required skills
SQL, Python, Shell scripting, AWS Cloud Data Platform, Snowflake, Databricks, Apache Airflow, Control-M, Terraform, AWS CloudFormation, Dimensional modeling, 3NF modeling
Preferred skills
Generative AI tools (Amazon Q, Gemini, Databricks Genie Rooms)
Technologies
AWS, Snowflake, Databricks, Apache Airflow, Control-M, GitLab, Terraform, Amazon Q
Responsibilities
Monitor and resolve ETL/ELT bottlenecks in enterprise data ecosystems; Architect and optimize scalable batch and streaming pipelines; Design and automate complex enterprise data workflows; Champion Infrastructure-as-Code and manage CI/CD pipelines; Lead incident management and root cause analysis; Collaborate with Data Scientists, Analysts, and DevOps teams.
Seniority
Senior, hands-on IC
