Lead Data Engineer – Python & GCP
Tasks
- Architect enterprise data solutions
- Build and maintain ETL and ELT workflows
- Create data orchestration workflows
- Deploy services on GKE and Cloud Run
- Design scalable ETL pipelines
- Develop data transformations and cleansing
- Document pipeline designs and operational procedures
- Implement data quality checks and monitoring
- Ingest data from multiple sources
- Manage Pub Sub based data feeds
- Manage version control and CI CD deployments
- Provide production support
- Write complex SQL for extraction and validation
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | BigQuery | Bigtable | CI/CD | Cloud Composer | Cloud Functions | Cloud Run | Cloud Storage | Cloud platform | DBT | DLP | Data Factory | Data Quality | Databricks | Dataflow | ELT | ETL | FastAPI | GKE | GitHub | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | IAM | Kafka | Kubernetes Engine | MongoDB | Oracle | PostgreSQL | PubSub | Python | Redis | SQL | SQL Server | Snowflake | Vertex AI
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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