Senior Cloud Data Engineer

Fidelity International; Gurugram District; On-site; INR 2,000,000 - 4,200,000; Full time

Job summary

Fidelity International in Gurgaon, India, is seeking an Expert Engineer - Data On Cloud with 7-10 years of experience to drive data ingestion, transformation, and distribution across the Data Lake ecosystem. You will collaborate with data engineers and architects to build scalable cloud-based data solutions, focusing on Snowflake, AWS, and modern ETL/ELT practices.

You will participate in designing governance, CI/CD pipelines, and quality gates while delivering enterprise-grade data services for

Qualifications

• 7–10 years of hands-on data engineering experience.
• Experience with cloud data platforms and data lake concepts.
• Strong knowledge of Snowflake, AWS, and data pipelines.

Responsibilities

• Design, build, and govern data ingestion, transformation, and distribution pipelines.
• Collaborate with data teams and architects to implement scalable data solutions.
• Develop CI/CD processes for Snowflake and related data workflows.

Skills

Data Ingestion

Snowflake

AWS

ETL/ELT

Snowflake CI/CD

Data Governance

Tools

SnapLogic

SnowSQL

Lambda

ECS/EKS

Kafka

DynamoDB

Job description

Expert Engineer - Data On Cloud

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. 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

• 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

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.

Experience Level Senior Level