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EXL - Data Engineer - Azure Data Services

EXL - Data Engineer - Azure Data Services

EXLHyderabad
6 hours ago
Job description

Role Summary :

We are looking for a skilled Data Engineer with solid experience in the Azure data ecosystem and hands-on expertise in Azure Databricks. The ideal candidate will have worked on designing and developing scalable, cloud-native data pipelines and solutions using Azure data services. You will contribute to building and optimizing data lakehouse and warehouse architectures, enabling efficient data ingestion, transformation, and analytics in a collaborative team environment.

Roles and Responsibilities :

  • Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS).
  • Implement ETL / ELT processes using Azure Data Factory and Databricks to enable efficient data ingestion and transformation.
  • Work on building data solutions leveraging Delta Lake and implement best practices such as the Medallion Architecture.
  • Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver effective Azure-based data solutions.
  • Participate in code reviews, testing, deployment, and documentation to ensure high-quality data engineering deliverables.
  • Follow data governance, security, and compliance standards while handling data pipelines and sensitive information.
  • Implement and manage secure authentication and authorization using Azure Active Directory (AAD) and Azure Key Vault for secrets management.
  • Support CI / CD automation and monitoring of data pipelines using Azure DevOps.
  • Stay current with Azure data platform developments and contribute ideas to improve existing data infrastructure and processes.

Must-Have Skills :

  • 4+ years of experience in data engineering with a strong focus on Azure data services.
  • Hands-on experience with Azure Databricks, Spark, PySpark, Delta Lake, and implementing Medallion Architecture is highly desirable.
  • Proficiency with Azure Data Factory for building ETL / ELT pipelines.
  • Working knowledge of Azure Synapse Analytics and Azure Data Lake Storage (ADLS).
  • Strong programming skills in Python and SQL (T-SQL). PowerShell experience is a plus.
  • Experience with Azure Active Directory (AAD) for authentication and role-based access control.
  • Familiarity with Azure Key Vault for secrets and certificate management.
  • Understanding of modern data lakehouse architectures and cloud-native data platform principles on Azure.
  • Basic knowledge of CI / CD and DevOps processes, preferably using Azure DevOps.
  • Good communication skills with the ability to work collaboratively in cross-functional teams.
  • Good-to-Have Skills :

  • Experience with Delta Live Tables, MLflow, or Unity Catalog on Azure Databricks.
  • Familiarity with Azure Event Hubs, Azure Stream Analytics, or other streaming data services.
  • Awareness of Azure Purview or other data governance tools.
  • Basic exposure to Snowflake in an Azure environment, including data modeling and performance tuning.
  • Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform on Azure.
  • Understanding of machine learning workflows and MLOps integration within Azure.
  • (ref : hirist.tech)

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