Data Engineer

Job Description

Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these products is crafted to enrich your experiences and bring you closer to your interests and aspirations. As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt. About the Business Unit Architecture and Group Initiatives (AGI) AGI owns the world-class Enterprise CMS solutions that empower all digital newsrooms within Times Internet and beyond. The solutions include state-of-the-art authoring tools with AI-enabled generative and assistive features, analytics and reporting tools and services that easily scale to the millions of requests per minute. This unique scaling need and engineering of state-of-the-art products make AGI a place of constant evolution and innovation across product, design and engineering in the ever-growing digital and print media industry landscape. About the Role In this role, you will play a key part in shaping the future of our data infrastructure, collaborating closely with the Product and Engineering team to deliver actionable insights and drive data-driven decision-making. In this impactful role, you will work alongside a talented team to design, develop, and scale a modern, data-driven analytics platform. Work Responsibilities Translate Requirements into Actionable Solutions: Collaborate with cross-functional teams to transform both functional and technical requirements into clear, executable design specifications for the data platform. Build Scalable Data Solutions: Architect, develop, test, deploy, and maintain a high-performance, scalable data infrastructure that supports advanced analytics and business insights. Innovate and Evolve: Play a key role in shaping the analytics roadmap, driving the conception, implementation, and continuous iteration of data-driven projects. Collaborate Across Teams: Partner with Product Managers, DevOps Engineers, and fellow Engineers to design and implement solutions in an agile, collaborative environment. Solve Complex Problems Creatively: Approach data challenges with curiosity, flexibility, and a passion for continuous learning, always striving to improve processes and solutions. Skills, Experience & Expertise Ability to work with large data sets and proficiency in SQL or similar query languages Strong experience with analytics tools and data visualization platforms Good communication skills to convey insights and recommendations effectively A proactive, self-driven mindset, with the ability to work independently and in a team environment Experience of working in a matrixed environment Eligibility Strong Analytical & Problem-Solving Skills: Expertise in building hypotheses and solving complex data challenges. Comfortable working with large datasets, performing independent analysis, and deriving actionable insights. Strong experience with Python for statistical analysis and SQL for complex querying, data manipulation, and transformation. Experience with Data-Driven Solutions: Proven track record of delivering data engineering solutions, including designing, building, and optimizing data pipelines or platforms to support data-driven products and analytics.