Senior Data Engineer

Kantar Group — Hyderabad, International Tech Park

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details Job Description- Data Engineer Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies. We combine the most meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future. In recent years, the market research industry has faced increasing threats from online fraud, particularly in incentivised markets. Fraudsters attempt to exploit survey systems for financial gain, and their tactics are constantly evolving. At Kantar, we are committed to staying ahead of these threats by investing in advanced data science solutions and fraud detection technologies. This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science teams. You’ll be part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations. What You’ll Do Working with the existing Data Science team, you will maintain and help evolve the data ecosystem to maintain Kantar’s ability to ward off fraud, make data led decisions and reduce operational cost. Integrate data from multiple sources, such as databases, APIs, and external data sets, into a unified and accessible data ecosystem, to support applications, data science and operational reporting / analytics Maintain comprehensive documentation of data pipelines, data models, and data related processes to facilitate collaboration and knowledge sharing Design, develop, and maintain data pipelines to extract, transform, and load data from various sources, ensuring dat

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