Infiniti Research - Azure Data Engineer - ETL/Synapse Analytics

About Quantzig : Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we're looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story. Job Description : Designation- Hybrid BI- Data Engineer (Azure) BI Experience- 5 to 7 Years Notice Period- 0-15days Location- Remote Role Overview : - We are looking for an experienced Data Engineer to join our team. - The ideal candidate will focus on designing and managing end-to-end data solutions. - This includes leveraging modern architectures like Medallion, developing robust ETL pipelines, and utilizing Azure-based databases to deliver scalable, efficient, and secure data workflows. - Strong communication skills and stakeholder management are essential for this role. Key Responsibilities : - Design and implement data systems using Medallion Architecture principles to ensure reliability, scalability, and performance. - Build, optimize, and maintain ETL pipelines to handle large volumes of data across diverse sources. - Leverage Azure data services, such as Azure SQL, Synapse Analytics, and Azure Data Factory, to develop and deploy data solutions. - Create and maintain efficient data models that align with business needs and improve data accessibility. - Implement and enhance automation in data workflows to improve efficiency and reduce manual intervention. - Ensure data integrity, security, and compliance across all processes. - Work closely with cross-functional teams to gather requirements, align on goals, and deliver solutions that meet business needs. Required Skills and Qualifications : Technical Expertise : - Proficiency in modern data engineering practices and cloud-based tools. - Hands-on experience with Azure data platforms, including Azure SQL, Synapse, and Data Factory. - Expertise in building and managing scalable ETL pipelines. - Strong understanding of Medallion Architecture or similar layered frameworks. - Working knowledge of Power BI and SQL (not at expert level). - Familiarity with tools and frameworks for automation and workflow orchestration. Soft Skills : - Excellent communication and interpersonal skills for stakeholder engagement. - Strong analytical and problem-solving capabilities. Experience : - Bachelor's degree in computer science, Data Engineering, or a related field. - 4-6 years of relevant experience in data engineering roles (ref:hirist.tech)

Location: in, IN

Posted Date: 1/15/2025