Senior Data Consultant (Python, GCP, Airflow)
Tasks
- Build ETL and data integration pipelines
- Build data models
- Create and maintain technical documentation and data standards
- Design develop maintain scalable data pipelines
- Develop and manage Apache Airflow DAGs
- Develop data processing logic in Python
- Ensure data quality, integrity, and reliability
- Perform code reviews and improve engineering best practices
- Store and transform data using BigQuery and Cloud SQL
- Support deployment and monitoring in Google Cloud Platform
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Spark | BigQuery | Cloud SQL | Cloud Storage | Cloud platform | Compute Engine | DBT | Data Architecture | Data Modeling | Data Pipelines | Data Quality | Data integration | ETL | GKE | Google Cloud | Google Cloud Platform | NoSQL | Python | Relational databases
Education
N/A
Roles
Consultant | Data Consultant | Data Engineer | Engineer | Senior Data Consultant
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