Senior Data Engineer
Core
Design, build, and optimize production data pipelines and data platforms on AWS for customers, handling modernization, lakehouse architectures, and streaming workloads.
Role type
Senior hands-on IC data engineer
Builds
Production data pipelines, data lakes, lakehouse platforms, and analytical workloads on AWS
Domain
Cloud data engineering (AWS)
Required skills
Apache Spark/PySpark, Python, SQL, AWS services (S3, Glue, Redshift, Kinesis), data modeling, ETL/ELT, streaming architectures, troubleshooting, infrastructure automation
Preferred skills
Apache Iceberg, Amazon OpenSearch, BI tools (QuickSight, Tableau, Power BI), Terraform, CI/CD, Amazon SageMaker, GenAI/Bedrock, Databricks, Snowflake, ClickHouse
Technologies
AWS, Spark, PySpark, Python, SQL, S3, Apache Iceberg, Glue, Redshift, Kafka, Kinesis, QuickSight, Terraform, SageMaker, OpenSearch, Databricks, Snowflake, ClickHouse
Responsibilities
Design and optimize production data pipelines and platforms; Build scalable data processing workloads; Modernize data lakes and lakehouse architectures; Design and optimize analytical workloads and data warehouses; Modernize legacy ETL/ELT processing; Work with streaming and event-driven data pipelines; Investigate and resolve production data problems; Take ownership of customer projects end-to-end; Collaborate with Data Scientists and DevOps; Contribute to dashboards and analytics; Apply engineering practices for data quality, testing, and security
Seniority
Senior, hands-on IC
