Data Engineer
Summary
Data Engineer building and optimizing scalable data solutions on Microsoft Azure: designing ETL/ELT pipelines with Azure Data Factory, Databricks, PySpark, and Synapse Analytics, plus Lakehouse and data warehouse architectures, with a focus on performance, quality, security, and governance. Requires 3-5 years of Azure data engineering experience.
Job Description
Data Engineer About Our Client: We are a global technology consulting company delivering digital transformation, process automation, and data-driven solutions to help organizations improve efficiency and make smarter business decisions. Job Title: Data Engineer Location: Bangalore/Gurgaon/Hyderabad Experience: 3-5 years Educational Qualification: Bachelors in Technology or related field. About the role: The Data Engineer will build and optimize scalable data solutions on Microsoft Azure using Azure Data Factory, Databricks, PySpark, and Synapse Analytics. The role focuses on developing ETL/ELT pipelines, modern Lakehouse and data warehouse architectures, data integration, and ensuring performance, quality, security, and governance. Responsibilities: - Design, develop, and implement scalable end-to-end data engineering solutions on Microsoft Azure. - Build and optimize ETL/ELT pipelines using Azure Data Factory and Azure Databricks. - Develop data transformation workflows using Spark and PySpark. - Design and maintain data warehouses, Lakehouse, and modern data platform architectures. - Work with Azure Synapse Analytics for enterprise data warehousing and analytical workloads. - Integrate structured and unstructured data from multiple data sources. - Optimize data processing performance, scalability, and cost efficiency. - Implement data quality, security, governance, and monitoring best practices. - Collaborate with business stakeholders, architects, and cross-functional teams to deliver data-driven solutions. - Troubleshoot production issues and continuously improve platform reliability and performance. - Stay up to date with Azure data services and recommend best practices for modern data platforms. Requirements: - 3–5 years of experience in Azure Data Engineering. - Hands-on experience with Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. - Strong understanding of modern cloud-based data platforms and enterprise data architecture. - Experience working in client-facing consulting or digital transformation projects is preferred. - Ability to work independently and collaborate effectively with cross-functional teams in a fast-paced environment. About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.