Senior Azure Data Engineer

Your key responsibilities will include designing, developing, and maintaining data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. You will also be responsible for building and optimizing data storage solutions using Azure Data Lake, Azure SQL Database, and Azure Cosmos DB. Collaboration with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions will be an essential part of your role.

Implementing data quality checks, data governance, and security best practices across data platforms, as well as monitoring, troubleshooting, and optimizing data workflows for performance and scalability, are crucial aspects of the job. You will also need to develop and maintain data models, data cataloging, and metadata management, as well as automate data integration and transformation processes using Azure DevOps and CI/CD pipelines. Staying up-to-date with emerging Azure technologies and data engineering trends will be expected from you.

To qualify for this position, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with at least 3 years of experience in data engineering with a focus on Azure cloud services. Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database is required. Strong experience with SQL, Python, or other scripting languages, familiarity with data modeling, ETL design, and big data tools such as Hadoop or Spark, as well as experience with data warehousing concepts, data lakes, and data pipelines are essential qualifications. Understanding of data governance, data quality, and security best practices, excellent problem-solving skills, and the ability to work in a fast-paced, collaborative environment are also necessary.

Preferred skills for this position include Azure certification (e.g., Microsoft Certified: Azure Data Engineer Associate), experience with Azure Logic Apps, Azure Functions, and API Management, as well as knowledge of Power BI, Tableau, or other data visualization tools.

This position is located in Asia, Noida, India.,