Senior Data Engineer (Perm, Italy, Hybrid)
Tasks
- Automate testing
- Build data pipelines
- Collaborate with client teams
- Collaborate with data scientists
- Collaborate with stakeholders
- Design data platforms
- Develop ETL processes
- Enhance data processing speed
- Ensure data compliance
- Ensure data governance
- Ensure data quality
- Ensure high availability
- Implement CI/CD for data pipelines
- Implement scalable data storage
- Maintain data warehouses
- Optimize ETL performance
- Perform code reviews
- Support data integration
- Use version control
Perks/Benefits
- Death in service cover
- Health insurance
- Paid time off
- Pension match
- Remote working allowance
- Training and development allowance
- Work remotely and flexibly
Skills/Tech-stack
Agile | Amazon Redshift | Amazon Web Services | Apache Spark | Automation | CI/CD | Cloud platform | Code review | Compliance | Data Governance | Data Lake | Data Modeling | Data Processing | Data Security | Data Warehousing | Databricks | Distributed data | Distributed data processing | ETL | Git | Google BigQuery | Google Cloud | Google Cloud Platform | Hadoop | Infrastructure as Code | Microsoft Azure | Pull Requests | Python | SQL | Schema Design | Snowflake | Web Services | “as-code”
Education
N/A
Roles
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