Skill: Azure, Python/Java, ADFExperience: 7 to 13 yearsLocation: BangaloreThe Impact You'll MakeAs our Azure Data Factory Developer, you’ll be the architect behind seamless data flows that fuel analytics, AI, and business intelligence. Your work will directly impact how our clients harness their data — from integrating diverse sources to delivering clean, reliable datasets for mission-critical decisions.What You'll Do • Design, develop, and maintain ETL pipelines using Azure Data Factory to integrate data from multiple sources. • Implement data transformations using Python or Java for advanced processing and automation. • Optimize pipeline performance, ensuring scalability, reliability, and cost efficiency. • Collaborate with data engineers, analysts, and business stakeholders to define requirements and deliver solutions. • Integrate with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Functions. • Monitor, troubleshoot, and enhance existing data workflows to ensure high availability.What You'll Bring • 3–6 years of experience in data engineering or ETL development. • Strong hands-on expertise with Azure Data Factory (pipelines, data flows, triggers, linked services). • Proficiency in Python or Java for scripting, automation, and data transformation. • Solid understanding of SQL and relational database concepts. • Experience with Azure ecosystem tools (Data Lake, Synapse, Blob Storage, Key Vault). • Problem-solving mindset with a focus on performance optimization and scalability.Why You'll Love It Here • Work on cutting-edge cloud data projects that make a real-world impact. • Access to continuous learning programs and Azure certification sponsorship. • Flexible work arrangements and a culture that values work-life balance. • Competitive salary, performance bonuses, and comprehensive health benefits. • A collaborative, innovation-driven environment where your ideas matter. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.