Senior Data Engineer
Tasks
- Design, develop, and maintain scalable data pipelines
- Develop test and deploy data models
- Ensure data pipeline architecture meets business needs
- Ensure data quality, consistency, and accuracy
- Ensure data security encryption and GDPR compliance
- Implement data ingestion and transformation best practices
- Monitor data pipeline performance
- Own ETL pipelines
- Translate data requirements into ETL solutions
- Troubleshoot data ingestion processing and extraction issues
Perks/Benefits
- Flexible work schedule
- Lab days
- Leadership programs
- Learning and development allowance
- Meeting and quiet spaces
- Mentoring
- Office-first collaboration
- Tech meetups and team activities
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | BigQuery | CI/CD | Cloud Storage | DBT | Data Lakes | Data Modeling | Docker | ETL | Flink | GCP | GCP IAM | GRPC | Git | Kubeflow | Kubernetes | Looker | PySpark | Python | REST APIs | SQL | Scala | TFX | TensorFlow Extended | Vertex AI
Education
N/A
Roles
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