Specialist, Starburst Trino Engineer

About the role

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are looking for a Senior Engineer, to build, optimize, and scale our Starburst Trino platform. This is a hands-on platform engineering role where you'll evaluate new features, develop reusable components, drive cost and performance optimizations, build automation, and explore AI-assisted productivity improvements. A key aspect of this role involves data virtualization - enabling seamless query access across diverse data sources without requiring data movement. You'll work with various source systems including data lakes, relational databases, cloud storage, APIs, and other enterprise data stores to deliver unified, performant query capabilities through the Starburst Trino platform. You'll partner closely with engineers, architects, stakeholders, and vendor support to deliver scalable, reliable, and standards-based solutions. While Starburst Trino is the primary focus, you'll work within a broader ecosystem that includes platforms like dbt, Airflow, Databricks, and other data integration and compute tools. Adaptability and willingness to learn across technologies are essential. What will you do in this role Design, build, and maintain platform capabilities for Starburst Trino Implement and optimize data virtualization patterns across diverse data sources Configure, manage, and tune connectors to various source systems including data lakes, relational databases, cloud storage, NoSQL stores, and APIs Evaluate new platform features and perform POCs/prototypes Drive cost optimization and right-sizing initiatives Develop automation, reusable components, and accelerators Identify and apply AI-assisted productivity improvements to engineering workflows Integrate Starburst Trino with other platforms in the data ecosystem Partner with stakeholders to understand requirements and provide technical guidance Collaborate with architects, vendor support, and peer engineers Lead and mentor engineers through design discussions and implementation guidance Adhere to and promote engineering standards and best practices What should you have Bachelors' degree in Information Technology, Computer Science or any Technology stream. Strong platform engineering or data platform engineering experience Deep experience with Starburst Trino or similar distributed query/data processing platforms Strong understanding of data virtualization concepts and federated query patterns Experience connecting to and optimizing queries across various data sources Proficiency in SQL and Python Experience with CI/CD and GitHub Actions Experience deploying or operating workloads on AWS and EKS Solid understanding of general networking concepts relevant to cloud environments Experience developing reusable components, accelerators, and automation tooling Strong analytical, troubleshooting, and problem-solving skills Strong communication and stakeholder engagement skills General knowledge of data integration and compute platforms Preferred Skills Experience with dbt, Airflow, Databricks, or other data ecosystem platforms Experience with query optimization, workload tuning, and platform scaling Experience with open table formats such as Delta Lake, or Hive Familiarity with AI agent development or AI-enabled engineering workflows Experience engaging with enterprise vendors and support organizations Experience mentoring engineers or guiding technical design decisions Soft Skills Clear and effect

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