Chief Data Architect

2 days ago

Nashik, Maharashtra, India beBeeData Full time ₹ 12,00,000 - ₹ 16,00,000
Senior Data Engineer

About this Opportunity

Our team is seeking an experienced Senior Data Engineer with a passion for designing, building, and optimizing scalable data pipelines and Lakehouse architectures using Microsoft Azure. You will collaborate closely with cross-functional teams to deliver robust, secure, and high-performance data solutions that empower analytics and data science initiatives.

Key Responsibilities:

  • Design and develop scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
  • Build and optimize lakehouse architectures on Azure using Delta Lake.
  • Work closely with stakeholders to understand their requirements and provide thought leadership to translate them 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 Technical Skills:

  • 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 (RAC, VNETs, Managed Identities), and compliance in Azure.
  • Experience with batch and streaming data processing using tools like Structured Streaming or Event Hubs.

Preferred Qualifications:

  • 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.

Benefits and Perks

We offer competitive compensation packages, comprehensive benefits, and opportunities for growth and professional development.

How to Apply

To apply for this exciting opportunity, please submit your resume and cover letter detailing your relevant experience and qualifications.

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