We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our team and feel like you are making progress.
About your team
AMP Data Engineering is an engineering group that supports the broader data and investment services landscape.
Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process. These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading.
About your role
This role sits within the AMP Data Engineering team. The team is responsible for building and maintaining data applications and platforms that enable business operations.
This role is appropriate for a senior data engineer capable of taking ownership and delivering a subsection of the wider data platform or data applications.
As a Data Engineer, you will directly contribute to key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business Enablement.
Key Responsibilities
- Develop components of data pipelines for ingestion and transformation
- Execute and monitor data quality validation processes
- Implement solutions based on specifications from senior engineers
- Assist in translating business requirements into technical implementations
- Write efficient SQL queries and Python scripts for data processing
- Follow team standards and engineering best practices
- Participate in code reviews to improve technical skills
- Help maintain documentation for data processes and configurations
- Troubleshoot basic issues in data pipelines
About you
Core Technical Skills
- Cloud Platforms: Working knowledge of cloud-based data platforms (Snowflake or equivalent)
- AWS Ecosystem: Familiarity with AWS services particularly S3 and Glue
- Streaming Architecture: Basic understanding of event-based or streaming data concepts
- Programming: Positive proficiency in Python and SQL
- DevOps: Familiarity with basic CI/CD concepts
- Data Security: Understanding of data access control concepts
- Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL)
- Data Integration: Basic understanding of ETL concepts
- Orchestration: Exposure to workflow tools (Airflow, Control-M, etc.)
- Engineering Practices: Familiarity with GitHub and version control principles
- Domain Knowledge: Willingness to learn investment management industry concepts
Bonus technical Skills:
- Basic understanding of containerization concepts
- Interest in API development
- Willingness to learn about Asset Management data domains
Key Soft Skills:
- Problem-Solving: Analytical mindset and eagerness to learn
- Communication: Clear communication of technical concepts
- Teamwork: Ability to work effectively in a team environment
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.
📌 Modern Data Engineer III (India)
🏢 Fidelity International
📍 India
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