Data Engineer (GCP) ID56375
Tasks
- Build and maintain scalable data pipelines
- Build and maintain testing frameworks for data pipelines
- Collaborate with data engineering compliance and business stakeholders
- Design and implement bitemporal data models
- Design and implement data ingestion normalization transformation and release pipelines
- Develop lakehouse layers and delta lake workflows
- Own end to end ingestion QA correction and audit trail solutions
- Support AI solutions for data ingestion anomaly detection and semantic search
Perks/Benefits
- Innovative projects
- Legal compliance in India
- Local connection meetups
- Personal growth education and wellness budget
- Remote work
Skills/Tech-stack
Apache Airflow | Apache Spark | Apache pandas | BigQuery | CI/CD | Change Data Capture | ClickHouse | Cloud Composer | Cloud Dataproc | Cloud Monitoring | Cloud Storage | Cloud platform | Data Capture | Dataplex | Datastream | Delta Lake | GCP Cloud | GCP Cloud Composer | Git | GitHub Copilot | Google Cloud | Google Cloud Dataproc | Google Cloud Platform | IAM | PubSub | PySpark | Python | REST APIs | SQL | Service Controls | Terraform | Time Series | Time series analytics | VPC Service Controls | Vertex AI
Education
N/A
Roles
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