Data Engineer (H/F)
Core
Designing and deploying robust, scalable data pipelines to feed analysis and machine learning environments for clients.
Role type
Senior Data Engineer (Data Modeling & Big Data Processing)
Builds
Production data pipelines, optimized ETL/ELT processes, and reliable datasets for data scientists.
Domain
Data Engineering, Cloud Data Platforms, Big Data Processing
Deliverable
production ML models | product features
Required skills
PySpark, Databricks, DBT, SQL, NoSQL, Cloud Data Warehouses, CI/CD, Data Modeling
Preferred skills
Distributed computing, Data Quality optimization, Cloud architecture integration
Technologies
Databricks, PySpark, DBT, GitLab, Jenkins, Airflow, Prometheus, AWS, Azure, GCP, Snowflake, BigQuery, Redshift
Responsibilities
Design and deploy scalable data pipelines; Optimize ETL/ELT performance; Collaborate with Data Scientists to deliver reliable datasets; Automate pipeline deployment and maintenance; Contribute to data architecture evolution; Resolve complex data quality and latency issues; Document data processes and schemas.
Seniority
Senior, hands-on IC
