Principal Data Engineer - Commercial Effectiveness
INR 2520K-3356K (estimate) Senior-level Full Time
Tasks
- Automate platform delivery
- Build and operate data platforms
- Collaborate with architects analysts and data scientists
- Create reusable data assets
- Deliver data foundations
- Deploy containerized services
- Design scalable data solutions
- Drive compute and storage optimization
- Embed data quality security and governance
- Ensure compliance with data classification and regulatory requirements
- Evaluate new data engineering technologies
- Implement CI/CD
- Implement infrastructure-as-code
- Lead data engineering team
- Manage data engineering lifecycle
- Model data and optimize performance
- Monitor logging tracing and metrics
- Orchestrate and schedule data workflows
- Provide technical leadership and mentoring
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Ansible | Apache Airflow | Apache Kafka | Apache Spark | Azure Blob | Azure Blob Storage | 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 | Continuous Deployment | Continuous Improvement | Continuous integration | Data Classification | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Databricks | Distributed tracing | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | Infrastructure as Code | Kubernetes | Kubernetes Service | Logging | Monitoring | Reliability Engineering | SAFe | Scrum | Site Reliability | Site Reliability Engineering | Streaming Architectures | Synapse Analytics | Terraform | “as-code”
Education
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