Data Engineer - 1290
Core
Design, implement, and maintain data connections between different environments and sources to facilitate business data access and understanding.
Role type
Data Engineer
Builds
Data pipelines (ETL/ELT), data ingestion processes, and data architecture layers
Domain
Health & Wellness / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Azure, Kafka, SQL, Python, Relational and Analytical Databases, NoSQL (MongoDB), Data Messaging/Streaming, ETL/ELT Pipelines, Databricks (Apache Spark), Data Orchestration (Airflow, Airbyte, dbt, Glue), Git, CI/CD
Preferred skills
Cloud Computing environments
Responsibilities
Design and maintain secure data connections between environments; Develop and operate data ingestion processes from transactional systems to analytical layers; Apply data modeling best practices for scalability and performance; Build, orchestrate, and monitor data pipelines across all architecture layers; Ensure data and pipeline performance, reliability, and SLA compliance.
