Technical Specialist
Fidelity International
- Location
- Gurgaon Office
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 694 approvals (FY2023)
Skills
About this role
About the Opportunity Job Type: Permanent Application Deadline: 19 September 2026 Job Description Title Technical Specialist Department Enterprise Engineering - Data Management Team Location Bangalore/Gurgaon Level Grade 4 Introduction 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 data management platform team in Enterprise Engineering and feel like you’re part of something bigger. About your team Enterprise Data Management Team has been formed to execute FIL’s data strategy and be a data-driven organization. The team would be responsible for providing standards and policies and manage central data projects working with data programmes of various business functions across the organization in a hub-and-spoke model. The capabilities of this team includes data cataloguing and data quality tooling. The team would also ensure the adoption of tooling, enforce the standards and deliver on foundational capabilities. About your role The successful candidate is expected to be a part of Enterprise Engineering team; and work on Data management platform. We are looking for a skilled Technical Specialist to join our dynamic team to build and deliver capabilities for data management platform to realise organisation’s data strategy.
About you
Key Responsibilities Create scalable solutions for data management, ensuring seamless integration with data sources, consistent metadata management, reusable data quality rules and framework. Develop robust APIs to facilitate the efficient retrieval and manipulation of data from a range of internal and external data sources. Integrate with diverse systems and platforms, ensuring data flows smoothly and securely between sources and our data management ecosystem. Design and implement self-service workflows to empower data role holders, enhancing accessibility and usability of the data management platform. Collaborate with product owner to understand requirements and translate them into technical solutions that promote data management and operational excellence. Work with data engineers within the team and guide them with technical direction and establishing coding best practices. Mentor junior team members, fostering a culture of continuous improvement and technical excellence. Work to implement devops pipelines and ensure smooth, automated deployment of data management solutions Monitor performance and reliability, proactively addressing issues and optimizing system performance. Stay up-to-date with emerging technologies, especially in GenAI, and incorporate advanced technologies to enhance existing frameworks and workflows Experience and Qualifications Required B.E./B.Tech. or M.C.A. in Computer Science from a reputed University 7+ years of relevant industry experience Experience of complete SDLC cycle Experience of working with multi-cultural and geographically disparate teams Essential Skills (Technical) Strong proficiency in Python, with a good understanding of its ecosystems. Experience with the Python libraries and frameworks such as Pandas, Requests, Flask, FastAPI, and web development concepts. Experience with RESTful APIs and microservices architecture. Deep understanding of AWS cloud services such as EC2, S3, Lambda, RDS, and experience in deploying and managing applications on AWS. Understanding of software development principles and design patterns. Candidate should have experience with Jenkins pipeline, hands on experience in writing testable code and unit testing Stay up to date with the latest releases and features to optimize system