Data Engineer

 JOB DESCRIPTION

 Job Title: Data Engineer

 VERTICAL: TIMES PRIME

 DOMAIN: PRODUCT

 EXPERIENCE: 1 - 4 YEARS

  About Times Internet

 At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India s largest digital products company, we have a significant presence across a wide range of categories, including News, Sports, Fintech, and Enterprise solutions.

 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.

 We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and technologies to help people make the most of every day. Join us and take us to the next level!

  About the Business Unit

 Times Prime is India s first digital lifestyle membership for premium content and exclusive member-benefits (https://www. timesprime. com/)

 Members get exclusive access to 25+ subscriptions and 40+ curated benefits from leading brands across Entertainment, Shopping, Essentials, Health & Fitness, Content, Dining, Travel, and a lot more.  

 Times Prime members also get VIP access to Exclusive premiers, Concerts, Stand Up Shows etc.

 30+ leading players have partnered with Times Prime for customer gratification, acquisition, and other endeavors. Our clients include CitiBank, HDFC, Kotak Mahindra, IDFC First,   Amazon, Tata Cliq, Samsung, Xiaomi, Flipkart, Myntra and many more.

  About the Role

 In this role, youll play a key part in shaping the future of our data infrastructure, collaborating closely with the Product team to deliver actionable insights and drive data-driven decision-making. In this impactful role, youll 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 Data 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 experience with R for statistical analysis and SQL for complex querying, data manipulation, and transformation.

 Bachelors or Masters degree in a relevant field .

 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.

 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.