Product Developer, Sr-Data engineering, Kafka, ETL
Core
Design, develop, test, and maintain scalable batch and streaming data pipelines for enterprise data sources.
Role type
Senior data engineer (streaming & ETL)
Builds
Data ingestion, transformation, and integration capabilities; Data Plane services
Domain
Enterprise data platforms, streaming systems, cloud data warehousing
Deliverable
production ML models | product features
Required skills
Data pipeline design, ETL development, SQL, Kafka/Confluent, Spark, Python, Snowflake, modern lakehouse technologies (Iceberg/Delta Lake), data governance, data quality
Preferred skills
REST APIs, JSON, CDC concepts, data transformation frameworks, Azure, ADLS, CI/CD, Git, Infrastructure-as-Code
Technologies
Kafka, Confluent, Snowflake, SQL Server, PostgreSQL, Iceberg, Delta Lake, Spark, Python, Azure, ADLS
Responsibilities
Design and maintain scalable batch and streaming data pipelines; Build and support data ingestion and transformation capabilities; Develop data processing solutions using Python, Spark, and SQL; Support data governance, cataloging, lineage, and quality use cases; Collaborate with architects and product managers to design Data Plane services; Review technical designs and mentor junior developers
Seniority
Senior, hands-on IC
