Data Engineer (m/w/d)
Core
Designing and implementing robust ETL/ELT pipelines to enable digital transformation by moving data from hundreds of ERP systems into a modern data architecture.
Role type
Data Engineer
Builds
Data pipelines, Data Lake infrastructure, and data models for analytics and business intelligence
Domain
Enterprise data engineering, ERP integration, Cloud (AWS)
Required skills
Python, SQL, ETL/ELT, Data Lake architecture, AWS (S3, Glue, Athena, RDS), Git, CI/CD, Infrastructure as Code (Terraform/CDK)
Preferred skills
Workflow orchestration (Temporal, Airflow, Prefect, Dagster), Legacy ERP integration, Streaming (Kafka, Kinesis), Docker, ECS, Grafana, Healthcare or E-Commerce domain knowledge, AWS certifications
Responsibilities
Design and implement robust ETL/ELT pipelines; Build Data Lake infrastructure on AWS; Integrate hundreds of legacy ERP systems; Implement resilient workflows with monitoring and alerting; Implement data quality checks and documentation
Seniority
Mid-level (3+ years experience)
