Data Engineer - 1290
Core
Design, implement, and maintain data connections between different environments and sources to ensure secure and efficient integration for business data consumption.
Role type
Senior Data Engineer
Builds
Data ingestion pipelines, ETL/ELT processes, and data architecture layers (ingestion, processing, consumption) for business analytics.
Domain
Healthcare technology / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Azure, Kafka, SQL, Python, PostgreSQL, SQL Server, BigQuery, MongoDB, Apache Spark, Airflow, Airbyte, dbt, Glue, Git, CI/CD
Preferred skills
Data modeling (relational, analytical, document-oriented), Data governance, Data Lake/Warehouse/Lakehouse architecture, Distributed processing optimization
Technologies
Azure, Kafka, PostgreSQL, SQL Server, BigQuery, MongoDB, Apache Spark, Airflow, Airbyte, dbt, Glue
Responsibilities
Design and implement data connections between different environments and sources; Develop and operate data ingestion processes from transactional systems to the analytical layer; Build, orchestrate, and monitor data pipelines across all architecture layers; Ensure performance, reliability, and SLA compliance for data and pipelines.
Seniority
Senior, hands-on IC
