Data Warehouse Engineer
Tasks
- Build and test data pipelines
- Coordinate with ML engineers and backend developers
- Define data quality standards
- Design batch pipelines
- Design streaming pipelines
- Develop data solutions with stakeholders
- Implement monitoring and alerting
- Ingest data into data lakehouse platform
- Model data for analytics
- Optimize data processing performance
Perks/Benefits
- Continuous training
- Daily breakfast
- Hackathons and dev weeks
- Healthcare allowance
- Hybrid work model
- Pension and health insurance
- Remote work weeks
Skills/Tech-stack
Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Artifactory | Avro | Bash | CI/CD | CSV | Change Data Capture | DBT | Data Capture | Data Modeling | Data Quality | Databricks | Debezium | Delta Lake | Docker | Dremio | Flink CDC | Grafana | Incremental loads | JSON | Jenkins | Kafka Connect | Kibana | Kubernetes | Linux | Parquet | Python | SQL | Scala | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Trino
Education
N/A
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