Azure Data Engineer

2 days ago

Mumbai, India RapidBrains Full time

Position – Senior Azure Data Engineer

Location: PAN India

Employment Type: Full-time

Notice Period - Immediate Joiners Only


About the Role

We are seeking an experienced Senior Data Engineer to join our IT division and play a pivotal role in supporting the company’s global operations across diverse sectors. The ideal candidate will have strong expertise in Azure (ADF + ADO), Databricks, and Python, with hands-on experience in designing, building, and managing scalable data pipelines and solutions.

Key Responsibilities

  • Design, build, test, debug, and deploy scalable data pipelines/ETL logic using Azure Data Factory (ADF), Databricks, and Azure DevOps.
  • Manage Azure DevOps repositories: perform push/pull requests, create/review pull requests, and configure CI/CD pipelines.
  • Troubleshoot build/release issues and resolve data pipeline errors, including managing dependencies and configuring libraries.
  • Develop, maintain, and optimize data structures in a Data Lake (data ingestion, data preparation, resource development, and quality assurance).
  • Conduct data integration across on-premises, cloud, and hybrid infrastructure in alignment with architectural decisions.
  • Define and implement data models and architecture to support applications.
  • Ensure adherence to security and privacy guidelines as per client and organizational standards.
  • Maintain coding and development best practices, ensuring high-quality deliverables.

Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • Experience: Minimum of 5+ years of professional experience in data engineering or equivalent work experience.
  • Strong expertise in:
  • Azure Data Factory (ADF)
  • Azure DevOps (ADO)
  • Databricks
  • Python
  • Proven experience with ETL, CI/CD, Data Lakes, Data Modeling, and Data Integration.
  • Strong debugging and troubleshooting skills in data pipelines and builds/releases.
  • Excellent English communication, presentation, and interpersonal skills to effectively collaborate with global stakeholders.
  • Certifications in Azure, Databricks, or related technologies will be considered an added advantage.

Skills & Keywords

Azure Data Factory | Azure DevOps | Databricks | Python | Data Pipelines | ETL | CI/CD | Data Lake | Data Modeling | Data Integration | Debugging | Troubleshooting | Security | Privacy | Coding Standards

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