Principal Data Engineer - Commercial Effectiveness
INR 3380K-4600K (estimate) Senior-level Full Time
Tasks
- Collaborate with architects analysts and data scientists
- Design build and operate scalable data solutions
- Drive data engineering lifecycle
- Drive platform automation infrastructure and software
- Embed data quality security and governance controls
- Evaluate and introduce new data engineering technologies
- Implement CI/CD and DevOps automation
- Lead data foundations delivery
- Optimize compute and storage cost performance
- Provide technical leadership mentoring and team development
- Translate business and analytical requirements into production data assets
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Ansible | Apache Airflow | 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 | Batch streaming | Blob Storage | CI/CD | Containerization | Continuous Improvement | Data Engineering | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Data Warehousing | Databricks | Distributed Systems | Distributed tracing | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | Hybrid Batch Streaming | Infrastructure as Code | Kafka | Kubernetes Service | Logging | Monitoring | Reliability Engineering | SAFe | Scrum | Site Reliability | Site Reliability Engineering | Streaming Architecture | Synapse Analytics | Terraform | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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