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Talent500 is hiring for one of its clients.About Huge:Founded in 1999 and headquartered in New York City, Huge is a global design and technology company that creates digital experiences for the world’s most ambitious brands. With more than 1,000 employees across several hubs worldwide in North America, South America, Europe, APAC and Vietnam etc., Huge combines creativity, strategy, and technology to deliver experiences that drive growth and transformation. Its client portfolio includes industry leaders such as Google, McDonald’s, Nike, IKEA, and Verizon, spanning consumer goods, retail, media, healthcare, and technology sectors. Huge is consistently recognized for its bold creativity, collaborative culture, and ability to make things people love, gaining awards including People’s Choice for Next Gen Talent of the Year (across technology and design), Healthcare Leadership Awards, Chatbot Solution of the Year, the 2025 AI Breakthrough Awards, and 15 Creativepool 2025 Annual Awards—including the People’s Choice win for Agency of the Year and Design Agency of the Year.About Huge India:ANSR has set up Huge India, a Global Capability Center purpose-built to fuel Huge’s next growth phase. Based in Bengaluru, India, the center is an innovation and delivery hub that enables Huge to scale design and technology capabilities to drive forward-looking solutions and strengthen our global delivery model by tapping into India's dynamic talent pool. Teams in India work closely with colleagues across North America, Europe, South America, and APAC to pioneer Intelligent Experiences (IX) and strengthen Huge’s global impact. Huge India focuses on areas such as experience design, engineering, product strategy, data analytics, and brand content, while also driving innovation in emerging technologies, including AI/ML. This center positions Huge to move faster, scale smarter, and deliver transformative digital experiences for clients worldwide.Future Makers, Welcome!At Huge, we’re always proactively preparing for future growth as we scale Intelligent Experiences. If not today, tomorrow. Things quickly evolve around here, so we maintain an "always-on" recruitment approach to ensure we're ready for the opportunities ahead. With this in mind, we invite you to review the skillset we value in Data Engineers. If your background aligns, share your resume with us for future consideration.About Intelligent Experiences.The future is Intelligent Experiences (IX). Done well, with humans at the center of the work, IX drives sustainable growth for businesses and brands, inspiring adoption and cutting through the boredom that plagues the industry.For 25 years, Huge has helped clients unlock new technologies and make experiences people love, from building user-centered digital businesses to navigating the explosion of channels to achieve unified brand experiences.As a design & innovation company, Huge is pioneering the use of generative AI in Intelligent Experiences to transform how brands connect with their customers, creating deeply personalized, anticipatory services that not only captivate but also foster loyalty and increase the value brands bring to customers and consumers.What’s the future role?Senior Data Engineers design, implement, and optimize the pipelines and systems that connect Huge’s analytics, MarTech, and AI solutions. You’ll serve as a technical lead for data architecture, telemetry design, and pipeline orchestration, ensuring accuracy, reliability, and scalability across cloud environments and integrated data ecosystems.This role blends deep technical skill with solution-driven collaboration. You’ll partner with Data Scientists, Analysts, and Engineers to translate business needs into well-structured data systems that support advanced analytics, personalization, and automation. You’ll guide best practices in data collection, schema design, and infrastructure optimization while mentoring junior engineers.What we’re going to be looking for?Required Experience:- 5+ years of experience in data engineering, analytics architecture, or cloud-based data platform development - Proven ability to design and deploy end-to-end data pipelines in any major cloud platform (GCP, AWS, Azure) or modern data stack (Snowflake, Databricks) - Exposure to MLOps, CI/CD, and automation for analytics pipeline deployment - Knowledge of cloud-native services such as Vertex AI, Cloud Functions, Lambda, Pub/Sub, or event-driven architectures (depending on cloud platform) - Hands-on experience with pipeline orchestration tools such as ADF / Glue / Dataflow, or equivalent - Strong proficiency in Python and SQL for data transformation and workflow automation - Strong documentation, version control, and QA discipline across data workflows - Experience translating business and technical requirements into scalable data architecturesGood to Have:- MarTech / CRM Integration - Experience with BigQuery - Familiarity with DBT / DBT Labs for data modeling and transformationKey Tool Set Requirements:- Expert proficiency in Python and SQL for data transformation and workflow automation - Experience with any major cloud platform such as GCP, AWS, Azure, or modern data ecosystems like Snowflake or Databricks - Hands-on experience with pipeline tools such as Azure Data Factory (ADF) / AWS Glue / Google Cloud Dataflow, or equivalent orchestration/ETL tools - Understanding of MLOps, CI/CD, and automation for deploying analytics or data pipelines - BigQuery – good to have - MarTech / CRM Integration – good to have - Familiarity with DBT – good to have