Chief Data Architect

6 days ago

Ajmer, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Summary:

We are seeking an experienced Data Engineering professional to join our organization. This role is responsible for designing and implementing scalable data pipelines, developing ETL/ELT solutions, and managing data storage and compute in a cloud-based environment.

About the Role:

  • Data Pipeline Design: Design and implement data pipelines using cloud-based services such as Azure Fabric, AWS Lake Formation, and Google Cloud Data Fusion.
  • ETL/ELT Development: Develop ETL/ELT solutions using Python, T-SQL, and Spark Notebooks within cloud-based platforms and managed services.
  • Data Storage and Compute Management: Manage and optimize data storage and compute resources in cloud-based environments supporting lakehouse and warehouse use cases.
  • Azure Key Vault Management: Implement and manage Azure Key Vault for secure handling of secrets, credentials, and connection strings.
  • CICD Pipeline Configuration: Configure and manage CI/CD pipelines for data engineering projects using cloud-based DevOps tools.
  • Data Integration: Integrate data from diverse sources including SQL server, cloud storage, REST APIs, and on-prem systems.
  • Collaboration: Collaborate closely with business teams and analytics professionals to ensure data models support reporting and self-service needs.
  • Troubleshooting: Monitor and troubleshoot data pipeline performance, data quality, and failure recovery.
  • Architecture Design and Governance: Contribute to architecture design, governance processes, and performance tuning.

Responsibilities:

  1. Design and implement scalable data pipelines using cloud-based services
  2. Develop ETL/ELT solutions using Python, T-SQL, and Spark Notebooks
  3. Manage and optimize data storage and compute resources in cloud-based environments
  4. Implement and manage Azure Key Vault for secure handling of secrets, credentials, and connection strings
  5. Configure and manage CI/CD pipelines for data engineering projects using cloud-based DevOps tools
  6. Integrate data from diverse sources
  7. Collaborate closely with business teams and analytics professionals
  8. Monitor and troubleshoot data pipeline performance, data quality, and failure recovery
  9. Contribute to architecture design, governance processes, and performance tuning

About Us:

Our organization specializes in providing data and analytics solutions to various industries. We help our clients become data-driven organizations by providing comprehensive data solutions, including data strategy, data governance, advanced analytics, business applications, and data visualization.

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