Senior Data Engineer
Core
Design, develop, and industrialize reliable, scalable data pipelines and architectures to support analytical, operational, and AI needs.
Role type
Senior Data Engineer
Builds
Data pipelines, distributed data processing, data models, and CI/CD infrastructure
Domain
Data Engineering, Cloud Data Platforms, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, distributed data processing, cloud architecture, data lake design, CI/CD implementation
Preferred skills
Big Data technologies, data quality optimization, technical documentation
Technologies
Python, SQL, Spark, PySpark, Scala, Databricks, Delta Lake, Snowflake, dbt, Airflow, Kafka, Azure Data Factory, AWS Glue, Docker, Kubernetes, Git
Responsibilities
Design and develop data ingestion, transformation, and value pipelines; Develop distributed processing for large data volumes; Design and maintain data models for analytical and operational use; Ensure data quality, reliability, and availability; Optimize processing performance and queries; Participate in data architecture design and evolution; Industrialize developments with CI/CD pipelines
Seniority
Senior, hands-on IC
