Data Engineer - Data Warehouse & Analytics
Budapest, Hungary
HUF 14400K-23520K (estimate) Senior-level Full Time
Tasks
- Build ELT workflows
- Collaborate with data scientists and analysts
- Create documentation and naming conventions
- Design dimensional data models
- Identify technical risks and improve reliability
- Implement data quality as code
- Optimize warehouse performance and cost
- Refactor legacy ETL
Perks/Benefits
- Company lunch
- Flexible working hours
- Health insurance
- Home office opportunity
- In-house gym
- Recreation room
- Team building events
Skills/Tech-stack
AWS Glue | AWS Glue Data Catalog | Amazon Redshift | Amazon S3 | Apache Iceberg | Apache Spark | Common table expressions | DBT | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Quality | Data Quality Testing | Data quality frameworks | Database performance | Database performance tuning | Dimensional Modeling | Distribution Key | ELT | ETL | Freshness Checks | Glue Data Catalog | Google BigQuery | Materialization Strategies | Metadata Management | Performance Tuning | Plan analysis | Python | Quality frameworks | Quality testing | Query Plan | Query plan analysis | SQL | Slowly Changing Dimensions | Snowflake | Sort Key | Star Schema | Window Functions | Workload management
Education
N/A
Roles
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