Data Engineer (DWH / Big Data / Streaming / Cloud Consulting)
Tasks
- Apply DevOps practices to data solutions
- Build data models and ETL pipelines
- Build real time data ingestion and streaming pipelines
- Collaborate with data scientists, architects, and stakeholders
- Create cloud-native data architectures
- Deploy and orchestrate services on Docker and Kubernetes
- Design end-to-end data solutions
- Develop and maintain large scale data and ML pipelines
- Ensure data reliability quality and performance
- Implement automated monitoring and testing
- Integrate diverse data sources using ETL ELT and streaming
- Integrate security automation and CI CD pipelines into data workflows
Perks/Benefits
- Career in multinational company
- International projects
- Language courses
- Medical care
- Multisport card
- MyBenefit program
- Social benefits
- Training program
Skills/Tech-stack
Airflow | Amazon Redshift | Amazon S3 | Amazon Web Services | Apache Beam | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | CI/CD | Cloud Pub/Sub | Cloud platform | Control-M | DBT | Data Governance | Data Modeling | Data Privacy | Databricks | Dataproc | Docker | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Google Cloud Pub/Sub | Java | Jenkins | Kubernetes | Microsoft Azure | Prefect | Pub/Sub | Python | SQL | Scala | Terraform | Web Services
Education
N/A
Roles
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