Highly Skilled Data Engineering Professional Wanted

2 days ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Solutions Architect

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We are seeking a highly skilled professional to design, build and optimize scalable data pipelines and Lakehouse architectures.

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Key Responsibilities:

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  • 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).">
  • Ensure 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.">
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Required Technical Skills:

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  • 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 (RBAC, VNETs, Managed Identities), and compliance in Azure.">
  • Experience with batch and streaming data processing using tools like Structured Streaming or Event Hubs.">
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Soft Skills & Mindset:

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  • Growth mindset with a passion for continuous learning and innovation.">
  • Strong collaboration skills across engineering, analytics, and business teams.">
  • Robust client management skills">
  • Structured problem-solving approach with a focus on scalability and maintainability.">
  • Resilient under pressure with a solution-oriented attitude.">
  • Excellent communication and documentation skills.">
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Preferred Qualifications:

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  • 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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