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Job Description
Department ISS
Location Bengaluru
Reports To Data Engineers - Lead
Level 3
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.
Strategic Impact
As a Senior Data Engineer, you will directly contribute to our key organizational objectives:
Cost Efficiency
Improve productivity through automating routine maintenance tasks
Decrease time to deliver continuous improvement initiatives
Optimize infrastructure costs through efficient database design
Risk Mitigation
Improve system documentation and knowledge transfer
Increase automated testing coverage
Enhance system and location resiliency
Key Responsibilities
Develop and optimize SQL queries, stored procedures, and data models for Oracle-based systems
Maintain data pipelines for extract, transform, and load (ETL) processes
Execute data quality controls and validation processes to ensure data integrity
Work with team members to understand business requirements and implement technical solutions
Create and update documentation for database procedures and configurations
Identify and resolve database performance issues through query optimization
Support integration between Oracle systems and cloud services, particularly AWS S3
Participate in code reviews and follow best practices for database development
Assist in migrating data and processes from legacy systems to modern cloud-based solutions
Work within an Agile framework, participating in sprint activities and team ceremonies
Required Qualifications:
5-8 years of experience with Oracle databases, SQL, and PL/SQL development
Good understanding of data modelling principles and database design
Working knowledge of Python for data processing
Experience with data quality validation and controls
Ability to understand existing database schemas and data relationships
Experience with version control systems, preferably Git/GitHub
Good written communication skills for technical documentation
Understanding of Agile development methodologies
Familiarity with investment management industry concepts, particularly security reference data, fund reference data, and basic fund accounting
Additional Qualifications:
Knowledge of SQL Server development
Experience with ETL tools like Informatica or Control-M
Unix shell scripting capabilities
Understanding of CI/CD principles
Familiarity with AWS services, particularly S3, Lambda, and Step Functions
Knowledge of database security principles
Experience with data visualization tools (Tableau, Power BI)
Experience collaborating with team members
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: 149200777
Skills:
Data Warehousing, Databricks, Sql, Power Bi, SSIS, Dax, Data Modeling, Power Bi Desktop, Power BI Service, ETL processes
Skills:
Java, Hadoop, Scala, AWS Glue, Dynamodb, Kafka, Sql, Hive, Kinesis, Spark, Python, Flink, IAM roles and permissions
Skills:
AWS Glue, Elastic Search, Python, Sql, IAM roles and permissions
Skills:
Design Patterns, Agile Methodologies, Distributed Systems, Data Governance, Python, Database Internals, Public Cloud engineering concepts, observability
Skills:
Design Patterns, Agile Methodologies, Distributed Systems, Data Governance, Python, Database Internals, Public Cloud engineering concepts, observability
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