Principal Data Engineer - Commercial Effectiveness
Bengaluru Campus 31, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Collaborate with architects analysts and data scientists
- Deliver reusable scalable data assets for analytics and AI
- Design build and operate scalable data solutions
- Design implement logging tracing and monitoring
- Drive data modeling performance optimization
- Drive platform automation infrastructure and software
- Embed data quality security and governance controls
- Ensure engineering standards architecture patterns and best practices
- Evaluate and introduce new data engineering technologies
- Implement compute and storage optimization
- Lead and develop data engineering teams
- Manage prioritization capacity and dependencies
- Own data engineering lifecycle for data foundations
- Provide technical leadership and mentoring
- Translate business and analytical requirements into data assets
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Ansible | Apache Airflow | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Hubs | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Compute Optimization | Containerization | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Warehousing | Databricks | Distributed Systems | Event Driven | Event Hubs | Event-driven architecture | Infrastructure as Code | Kafka | Kubernetes Service | Logging | Monitoring | Reliability Engineering | SAFe | Scrum | Security controls | Site Reliability | Site Reliability Engineering | Storage Optimization | Streaming Architectures | Synapse Analytics | Terraform | Tracing | “as-code”
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