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Job Description
Department ISS
Location Bengaluru
Reports To Data Engineers - Lead
Level 5
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 (name of team/business area) team and feel like you are making progress.
ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation - that supports the ISS Department.
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.
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
Implement and maintain data pipelines for ingestion, transformation, and delivery
Ensure data quality through validation and monitoring processes
Collaborate with senior engineers to design scalable data solutions
Work with business analysts to understand and implement data requirements
Optimize data models and queries for performance and efficiency
Follow engineering best practices and contribute to team standards
Participate in code reviews and knowledge sharing activities
Implement data security controls and access policies
Troubleshoot and resolve data pipeline issues
Core Technical Skills
Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture)
AWS Ecosystem: Strong knowledge of AWS services including Lambda, Glue, and S3
Streaming Architecture: Understanding of event-based or streaming data concepts using Kafka
Programming: Strong proficiency in Python and SQL
DevOps: Experience with CI/CD pipelines and infrastructure as code (Terraform)
Data Security: Knowledge of implementing basic data access controls
Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases
Data Integration: Understanding of data integration patterns and techniques
Orchestration: Experience using workflow tools (Airflow, Control-M, etc.)
Engineering Practices: Experience with GitHub, code verification, and validation
Domain Knowledge: Basic knowledge of investment management industry concepts
Bonus technical Skills:
Understanding of containerization concepts
Exposure to API development using Python-based frameworks
Basic familiarity with Asset Management data domains
Key Soft Skills:
Problem-Solving: Strong analytical skills and ability to troubleshoot technical issues
Communication: Effective communication with team members and stakeholders
Collaboration: Ability to work effectively in cross-functional teams
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.
Fidelity International Ltd, or FIL for short, is a company that provides investment management services including mutual funds, pension management and fund platforms to private and institutional investors.
Job ID: 147884473
Skills:
Apache Airflow, Hive, Google Cloud Platform, Hadoop, Docker, Pyspark, Spark, Kubernetes, Python, Sql, Google Cloud DataProc
Skills:
Data Modelling, Cloud Services, Sql, Python, Data Pipelines
Skills:
Gcp, Docker, MySQL, Pyspark, PostgreSQL, MongoDB, Python, AWS, ELT, Etl, GenAI
Skills:
snowflake , Pyspark, Scala, Spark, Informatica, Python, AWS
Skills:
Pyspark, AWS Glue, Sql, Amazon Redshift, Data Warehousing, Informatica Powercenter, Python, Etl, AWS Cloud services
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