2897 - Data Engineer

5 days ago

bangalore, India EXL Full time

Job Title: Data Engineer (Azure) Experience: 4–7 Years 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.

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