EXL - Data Engineer - Azure Data Services

1 week ago

Gurugram, India EXL Full time

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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