Data Engineer
Core
Build, maintain, and evolve data solutions to provide structured, secure, reliable, and high-performance information.
Role type
Data Engineer
Builds
Data pipelines, Data Lake, Data Warehouse environments, and analytics/BI support
Domain
Cloud data engineering and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python or Scala, ETL/ELT, Cloud platforms (AWS/GCP/Azure), Data Lake/Warehouse modeling, CI/CD practices
Preferred skills
Spark, Kafka, Airflow, dbt, real-time data processing, Data governance and cataloging
Technologies
AWS, GCP, Azure, Spark, Kafka, Airflow, dbt
Responsibilities
Develop and evolve data pipelines; Structure and transform data for analytics and BI; Implement and maintain cloud Data Lake and Data Warehouse environments; Support data quality, security, and governance initiatives; Evaluate and implement performance improvements in data queries and processes; Document technical solutions and standardize processes.
Seniority
Mid-level to Senior, hands-on IC
