Data Engineering Professional II
SVK - Bratislava – Svatoplukova, Slovakia
EUR 36K-53K Mid-level Full Time
Tasks
- Build and maintain data models and pipelines
- Collaborate with agile scrum teams to deliver data products
- Construct data tables and data models for operations and analysis
- Create and refine user stories and acceptance criteria
- Deploy data pipeline solutions in AWS environments
- Design and develop data integration patterns and models
- Drive scoping and definition of complex features
- Gather analyze and document business and system requirements
- Guide and support junior members
- Lead backlog refinement and preparation
- Maintain engineering documentation and engineering wiki
- Partner with stakeholders to write user stories
- Perform data analysis for issue resolution
- Provide updates on risks issues and ambiguities
- Reconcile data and monitor data quality
- Support data governance and master data management
- Support product owner prioritization of backlog
- Troubleshoot and resolve data-related issues
- Validate requirements with development and QA teams
- Write unit, integration, and performance test scripts
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Acceptance criteria | Agile | CI/CD | Confluence | Data Flow | Data Flow Documentation | Data Management | Data Modeling | Data Pipelines | Database Design | Databricks | DevSecOps | Dimensional Modeling | DynamoDB | End to End | End-to-End Testing | Excel | Flow documentation | Git | GitHub | GitHub Actions | GitLab | GraphQL | Infrastructure as Code | Integration Testing | Jenkins | Jira | Kafka | Lambda | Master Data | Master Data Management | MongoDB | NoSQL | Pivot Tables | PostgreSQL | Power BI | PySpark | Python | REST | SOAP | SQL | SQL Optimization | SQS | Scrum | Source Control | Spark Streaming | Step Functions | Terraform | Unit Testing | User stories | “as-code”
Education
N/A
Roles
Regions
Countries
States
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