Senior Data Engineer
Core
Design, build, and operationalize complex data solutions to support AI, ML, and BI insights for customers.
Role type
Senior IC data engineer
Builds
Scalable data engineering pipelines, data consumption layers, and data solutions
Domain
Data engineering, AI/ML, Business Intelligence
Deliverable
production ML models | product features
Required skills
Data engineering technologies (Spark, Hadoop, Kafka), Data Warehousing (SQL, OLTP/OLAP/DSS), End-to-end data analytics workflow, Data governance, Data security, Data quality, System analysis and defect resolution, Data movement and transformation testing
Preferred skills
Public cloud platforms (AWS, Azure, GCP), Databricks data engineering or ML certification
Technologies
Spark, Hadoop, Kafka, pandas, scikit-learn, SQL, AWS, Azure, GCP, Databricks
Responsibilities
Design and build complex data solutions, guide customers on technical decisions, track progress across multiple customer accounts, analyze data sources for value, incorporate data governance and security, collaborate to support delivery and educate users, test data movement and transformation code, resolve defects and incidents
Seniority
Senior, hands-on IC with intermediate leadership
