Senior GCP Data Engineer
Tasks
- Build logical and physical data models
- Build solutions with BigQuery Cloud Composer Cloud Storage and Dataproc
- Design build and optimize scalable data pipelines on GCP
- Enable ML AI workflows with data science teams
- Ensure data security governance and cost optimization
- Ensure high performance reliability and data quality
- Implement data vault where applicable
- Implement dimensional modeling
- Implement modern data architectures
- Lead end-to-end data engineering delivery
- Mentor data engineers
- Optimize datasets for performance scalability and usability
- Own data pipelines architecture and platform design
- Translate business and modeling requirements into data structures
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Batch Processing | BigQuery | Cloud Composer | Cloud Storage | Cloud platform | Cost Optimization | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Warehousing | Dataproc | Dimensional Modeling | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Machine Learning | Python | Real Time | Real-time Processing | SQL | Scala | Snowflake Schema | Star Schema | Time processing
Education
N/A
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