Senior Data Engineering Expert

2 days ago

Ajmer, Rajasthan, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,00,000

About the Role

Highly Skilled Data Engineering Professional

We are seeking a highly skilled data engineer with deep expertise in Microsoft Azure to design, build, and optimize scalable data pipelines and lakehouse architectures.

Key Responsibilities:

  • Design, Develop, and Maintain Scalable Data Pipelines: Using Azure Data Factory and Azure Synapse Analytics.
  • Build and Optimize Lakehouse Architectures: On Azure using Delta Lake.
  • Work Closely with Client Stakeholders: To understand their requirements and provide thought leadership to translate the same into technical scripts.
  • Implement Data Ingestion, Transformation, and Orchestration Workflows: From diverse sources (APIs, databases, cloud storage).
  • Evaluate Data Quality, Consistency, and Security: Across the data lifecycle.
  • Leverage Azure Services: Such as Data Lake Storage Gen2, Event Hubs, Azure Functions, and Key Vault.
  • Implement Infrastructure as Code (IaC): Using Terraform or Bicep for automated provisioning and configuration.
  • Optimize Cloud Resource Usage: For performance and cost-efficiency.
  • Design and Implement Star Schema and Other Data Modeling Techniques: To support analytical workloads.
  • Collaborate with Analysts and Data Scientists: To deliver advanced analytics solutions.
  • Conduct Data Quality Assessments: And contribute to data governance initiatives.
  • Participate in Design Reviews, Code Reviews, and Cross-Functional Planning Sessions:
Required Skills and Qualifications

Expert-Level Experience with Azure Data Services: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage.

Strong Proficiency in SQL: For complex transformations and performance tuning.

Advanced Python Skills: For data pipeline development and orchestration.

Experience with Terraform or Similar IaC Tools: For Azure.

Familiarity with CI/CD Pipelines and DevOps Practices:

Experience with Containerization: Docker, Kubernetes is a plus.

Strong Understanding of Data Governance, Security, and Compliance: In Azure.

Experience with Batch and Streaming Data Processing: Using tools like Structured Streaming or Event Hubs.

Benefits

A growth mindset with a passion for continuous learning and innovation. Strong collaboration skills across engineering, analytics, and business teams.

Robust client management skills. A structured problem-solving approach with a focus on scalability and maintainability.

Resilient under pressure with a solution-oriented attitude. Excellent communication and documentation skills.

Preferred qualifications include Microsoft Certified: Azure Data Engineer Associate or equivalent. Experience with Delta Live Tables, Unity Catalog, or MLflow is a plus. Familiarity with GCP or AWS is a bonus.

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