Mid/Senior Data Engineer
Tasks
- Build centralized data lake on GCP
- Build data dashboards with Looker Studio
- Collaborate with data science and machine learning teams
- Conduct root cause analysis
- Design ETL and ELT processes
- Design data models for analytical use cases
- Develop and optimize batch and streaming pipelines
- Implement data validation and quality checks
- Integrate diverse data sources
- Support data governance and warehousing
- Troubleshoot data issues
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Spark | Apache Spark Streaming | Atlan | BigQuery | Cloud Storage | Cloud platform | DBT | Data Modeling | Data Quality | Data Validation | Data Warehousing | Dataflow | Dataplex | Dataproc | Datastream | Docker | ELT | ETL | Google Cloud | Google Cloud Platform | Great Expectations | Kubernetes | Looker | Looker Studio | Luigi | MongoDB | Prefect | PubSub | PySpark | Python | SQL | Scala | Spark Streaming | Terraform
Education
N/A
Roles
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