Department ISS
Reports To Data Engineers Lead
Level 6

About your role
This role sits within the ISS Data Engineering. The Data Engineering team is responsible for building and maintaining the data applications and platform that enables the ISS business to operate.

This role is appropriate for a senior data engineer capable of taking ownership and a delivering a subsection of the wider data platform or data applications.

As a Senior Data Engineer, you will directly contribute to our key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business Enablement

Key Responsibilities

Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics
Be accountable for technical delivery and take ownership of solutions
Lead a team of senior and junior developers providing mentorship and guidance
Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress
Drive technical innovation within the department to increase code reusability, code quality and developer productivity
Challenge the status quo by bringing the very latest data engineering practices and techniques

About you
Core Technical Skills
Cloud Platforms: Expert in leveraging cloud-based data platforms (Snowflake, data lakehouse architecture) to create enterprise lake houses
AWS Ecosystem: Advanced expertise with AWS services including Lambda, EMR, MSK, Glue, and S3
Streaming Architecture:



Experience designing event-based or streaming data architectures using Kafka
Programming: Advanced expertise in Python and SQL (Java/Scala experience welcomed)
DevOps: Expert in CI/CD pipelines to deploy infrastructure (Terraform) with test automation
Data Security: Experience implementing data access controls to meet regulatory requirements
Database Systems: Experience with both RDBMS (Oracle, Postgres, MSSQL) and NoSQL (Dynamo, OpenSearch, Redis)
Data Integration: Experience implementing CDC ingestion techniques
Orchestration: Experience using workflow tools (Airflow, Control-M, etc.)
Engineering Practices: Significant experience with GitHub, code verification, validation, and AI-assisted development
Domain Knowledge: Knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, and fund accounting

Bonus technical Skills:
Strong experience in containerization and deploying applications to Kubernetes
Solid experience in API development using Python-based frameworks like FastAPI
Familiarity with Asset Management data domains (Security Reference, Trades, Orders Holdings, Funds, Accounting, Index etc)

Key Soft Skills:
Problem-Solving: Leadership experience in problem-solving and technical decision-making
Communication: Strong in strategic communication and stakeholder engagement
Project Management: Experienced in overseeing project lifecycles and managing resources alongside Project Managers

📌 Senior Data Engineer II (Karnataka)
🏢 Fidelity International
📍 Karnataka