Principal Data Engineer - Commercial Effectiveness
Bengaluru Campus 31, India
INR 3600K-4600K (estimate) Senior-level Full Time
Tasks
- Collaborate with data architects analysts and data scientists
- Design build and operate scalable data solutions
- Develop mentor and manage data engineering team
- Drive CI/CD automation
- Embed data quality security and governance controls
- Ensure reliable reusable fit for purpose data assets
- Establish engineering standards architecture patterns and best practices
- Evaluate and introduce new data engineering technologies
- Implement infrastructure-as-code
- Implement logging tracing and monitoring systems
- Lead data foundation delivery
- Optimize compute and storage performance
- Own full data engineering lifecycle
- Provide hands on technical leadership for complex problems
- Translate business requirements into production ready data assets
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Agile | Ansible | Apache Airflow | Apache Kafka | Apache Spark | Application Monitoring | 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 | Containerization | Data Engineering | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Databricks | DevOps | Distributed Systems | Event Driven | Event Hubs | Event-driven architecture | IaC | Infrastructure as Code | Kubernetes Service | Logging | SAFe | Scrum | Streaming Architectures | Synapse Analytics | Terraform | Tracing | “as-code”
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