Azure Data Engineer
4 weeks ago
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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