Data Engineer
Core
Design, build, and maintain scalable data pipelines and architectures supporting data processing and analytics across the organization.
Role type
Data Engineer
Builds
ETL pipelines, data workflows, and data processing solutions
Domain
Cloud data platforms (Azure), AIoT, automotive, manufacturing, smart infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, ETL pipeline design, workflow orchestration (Airflow), Spark, Databricks, SQL, cloud platforms (Azure), DevOps practices
Preferred skills
Data quality assurance, process documentation
Technologies
Python, Airflow, Spark, Databricks, Azure
Responsibilities
Design and build robust ETL pipelines; Develop and optimize data processing solutions; Ensure data quality, consistency, and availability; Collaborate with stakeholders to translate data requirements into technical solutions; Support data platform development and continuous improvement; Document data processes and follow best practices
Seniority
Mid-level, hands-on IC
