Data Engineer ID56374
Tasks
- Acquire normalize transform and release financial data
- Build and maintain scalable data pipelines on GCP
- Build and maintain testing frameworks for data pipelines
- Collaborate with global stakeholders and platform services
- Design and implement bitemporal data models in BigQuery
- Implement ingestion QA and audit trail workflows
- Integrate data platforms with AI solutions
Perks/Benefits
- Education budget
- Growth budget
- Innovative projects
- Legal presence in India
- Local connection
- Periodic meetups
- Remote work
- Wellness budget
Skills/Tech-stack
Apache Airflow | Apache Spark | BigQuery | BigQuery cost management | Bitemporal Data | Bitemporal data modeling | CI/CD | Change Data Capture | Cloud Composer | Cloud Monitoring | Cloud Storage | Columnar Storage | Cost Management | Data Capture | Data Modeling | Dataplex | Dataproc | Datastream | Delta Lake | Delta Lake workflows | Financial reference data | Git | Google Cloud | Google Cloud Storage | IAM | LLMs | Pandas | PubSub | PySpark | Python | REST API | Reference Data | SQL | Service Controls | Terraform | Time Series | Time series analytics | VPC Service Controls | Vertex AI
Education
N/A
Roles
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