Expert Engineer - Data On Cloud
Fidelity International Gurgaon, Haryana, India
Financial Services · 5,001-10,000 employees
About the role
The role is responsible for maintaining, governing, and developing common frameworks and tools for the Data Lake with a focus on reporting and analytics. You will integrate siloed data across disparate systems to manage unified data for centralized access and governance.
What they look for
Requirements
Candidates must have 7-10 years of experience with strong skills in data engineering, AWS, Snowflake, and Snaplogic. You should possess excellent software design and problem-solving abilities along with experience in building data pipelines and CI/CD processes.
Benefits
Full description
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 standard business scenarios in case of missing data, holidays, out of tolerance errors etc.
What is there for me in this role?
- Excellent opportunity to work on emerging data technologies and learn with highly energised technical and engineering community, creating an environment of collaborative learning, sharing and positive challenge.
- Work in highly meritocratic set-up where excellence is suitably enabled, supported and rewarded.
- Ability to work on mission critical, enterprise grade financial services systems which support millions of customers.
- Exposure to work towards our technical strategy which has taken on the challenge of relentless simplification, cloud onboarding, modern technologies and ways of working/problem solving.
Experience and Qualifications
- 7 - 10 years
Feel rewarded
For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.
For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.
