Data Engineering Lead for Scalable Azure Solutions

1 week ago


Delhi, Delhi, India Response Informatics Full time
About the Role:

We are seeking an experienced data engineering professional to lead the design and implementation of scalable Azure solutions. The ideal candidate will have 15+ years of experience in data engineering and architecture, with expertise in Azure Data Factory, Databricks, Delta Tables, Unity Catalogs, GitHub, and GitHub Workflows.

Key Responsibilities:
  • Architect and Design Solutions: Lead the design and implementation of enterprise-scale data lakehouse architectures using Azure technologies such as Data Factory, Databricks, Delta Tables, and Unity Catalog.
  • Data Integration: Develop and implement pipelines to ingest, transform, and integrate data from various sources using Azure Data Factory and Databricks.
  • Data Governance and Security: Establish and enforce best practices for data governance, security, and compliance using tools like Unity Catalog and Azure RBAC.
  • Collaboration and Version Control: Leverage GitHub and GitHub Workflows to manage version control, CI/CD pipelines, and collaboration across teams.
  • Performance Optimization: Optimize the performance of data pipelines and storage for scalability and efficiency, ensuring minimal downtime and high availability.
  • Stakeholder Engagement: Work closely with business stakeholders to gather requirements and translate them into technical solutions aligned with business objectives.
  • Documentation and Training: Prepare architectural documentation and conduct knowledge-sharing sessions to upskill team members.
Qualifications:
  • Experience: 15+ years in data engineering/architecture with a focus on data lakehouse design and implementation.
  • Proven expertise in Azure Data Factory, Databricks, Delta Tables, Unity Catalog, and GitHub.
  • Technical Skills: Strong programming and scripting skills (e.g., Python, SQL, PySpark). Experience with CI/CD pipelines, version control, and workflow automation using GitHub Workflows. Solid understanding of data governance, security, and compliance practices.
  • Azure Certification: Azure certification (e.g., Azure Solutions Architect, Azure Data Engineer Associate) is desirable but not mandatory.
  • Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities to work effectively with cross-functional teams.

Estimated Salary: $180,000 - $250,000 per year



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