Expert Engineer - Data On Cloud

About the Opportunity Job Type: Permanent Application Deadline: 18 August 2026 Job Description                                                                                                  Title: Expert Engineer - Data On Cloud Department: Data Distribution and Reporting Location: Gurgaon, India                                                                                                                   About Fidelity International We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. About your Team The Technology function provides IT services to the Fidelity International business, globally.  These include the development and support of business applications that underpin our revenue, operational, compliance, finance, legal, customer service and marketing functions.  The broader technology organisation incorporates Infrastructure services that the firm relies on to operate on a day-to-day basis including data centre, networks, proximity services, security, voice, incident management and remediation. About your role The role is responsible for maintaining, governing, development of common frameworks & tools for FIL Data Lake with specific focus on Data Ecosystem for reporting and analytics. This role engages across all engineering development & data teams as well as technical data architect. The function will be responsible for understanding business, data & technology services with a view to create a strategic approach to data management and data lake adoption. Integrate data siloed across the disparate systems, manages the unified data for centralized data access and governance About you You have excellent software designing, programming, engineering, and problem-solving skills Strong experience working on Data Ingestion, Transformation and Distribution using AWS or Snowflake Exposure to SnowSQL, Snowpipe, Role based access controls, ETL / ELT tools - Snaplogic Hands on working knowledge around EC2, Lambda, ECS/EKS, DynamoDB, VPC’s Familiar with building data pipelines that leverage the full power and best practices of Snowflake as well as how to integrate common technologies that work with Snowflake (code CICD, monitoring, orchestration, data quality, monitoring) Experience with designing, implementing, and overseeing the integration of data systems and ETL processes through Snaplogic Designing Data Ingestion and Orchestration Pipelines using Snaplogic, AWS, kafka Establish strategies for data extraction, ingestion, transformation, automation, and consumption Experience in Data Lake Concepts with Structured, Semi-Structured and Unstructured Data Experience in creating CI/CD Process for Snowflake Experience in strategies for Data Testing, Data Quality, Code Quality, Code Coverage Ability, willingness & openness to experiment / evaluate / adopt new technologies Passion for technology, problem solving and team working Go getter, ability to navigate across roles, functions, business units to collaborate, drive agreements and changes from drawing board to live systems Lifelong learner who can bring the contemporary practices, technologies, ways of working to the organization Effective collaborator adept at using all effective modes of communication and collaboration tools Experience delivering on data related Non-Functional Requirements like- Hands-on experience dealing with large volumes of historical data across markets/geographies. Manipulating, processing, and extracting value from large, disconnected datasets. Building water-tight data quality gates on investment management data Generic handling of