Data Engineer
Core
Design, build, and maintain reliable, scalable data pipelines for analytics, reporting, and data science workloads.
Role type
Senior Data Engineer
Builds
Data ingestion and transformation pipelines, curated datasets/data marts, automated workflows, and monitoring/logging systems.
Domain
Automotive industry data engineering
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python, Snowflake, data modeling, database design, ETL/ELT (ADF, Airflow, dbt), streaming technologies (Kafka, Event Hubs), AWS, CI/CD principles
Preferred skills
Automotive industry experience, Databricks, BigQuery, Redshift, MLOps support
Technologies
Snowflake, Databricks, BigQuery, Redshift, ADF, Airflow, dbt, Kafka, Event Hubs, AWS
Responsibilities
Design and maintain batch and streaming data pipelines; ingest data from multiple source systems; transform and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement pipeline monitoring and alerting; support MLOps and analytics workloads; document data flows.
Seniority
Senior, hands-on IC
