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Fidelity International
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Senior Data Engineer

Senior Data Engineer

Fidelity International

7 - 12 years

5 - 9 Lacs

bengaluru

Posted:7 hours ago| Platform:

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Skills Required

python data processing database design agile development methodology data modeling continuous integration sql development ci/cd power bi sql server sql plsql tableau git lambda expressions shell scripting agile oracle server etl informatica unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

Department ISS Delivery

Reports To ISS Data Engineers Lead

Level 5

About your team

ISS Delivery provides the design and delivery of all changes in processes and/or technology solutions that support the growth for Fidelitys Global Investment Solutions & Services business (ISS)
We support Investment Management, Asset Management Operations and Distribtion team primarily located in London, Hong Kong, Tokyo, Toronto, Australia, Singapore and China

About your role

We are seeking an experienced Senior Data Engineer to join our team, focusing on designing, implementing, and maintaining robust data solutions primarily using Oracle technologies while integrating with modern cloud services
This role bridges our existing data infrastructure with evolving cloud-based systems, requiring both deep database expertise and adaptability to new technologies

Strategic Impact

As a 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

Ownership of the design and development of end-to-end data solutions for Oracle-based systems
Provide technical oversight to a small team of data engineers as part of project delivery
Manage stakeholder expectations and articulate trade-offs, timelines and decisions
Create and maintain efficient data pipelines for extract, transform, and load (ETL) processes
Implement data quality controls and validation processes to ensure data integrity
Lead collaboration with cross-functional teams to understand business requirements and translate them into technical specifications
Document database designs, procedures, and configurations to support knowledge sharing and system maintenance
Work closely with Data Architects to collaborate on the long term data strategy of the team
Integrate Oracle systems with cloud services, particularly AWS S3 and related technologies
Lead code reviews and contribute to define practices for database development
Support migration of data and processes from legacy systems to modern cloud-based solutions
Work within an Agile framework, participating in sprint planning, refinement, and retrospectives

Essential Skills and Experience

7+ years of experience with Oracle databases, including advanced SQL development
Experience leading a team of engineers to solve a business problem with data solutions
Strong knowledge of data modeling principles and database design
Proficiency with Python for data processing and automation
Experience implementing and maintaining data quality controls
Experience with AI-assisted development (GH copilot, etc..)
Ability to reverse engineer existing database schemas and understand complex data relationships
Experience with version control systems, preferably Git/GitHub
Excellent written communication skills for technical documentation
Demonstrated ability to work within Agile development methodologies
Knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, different asset classes and fund accounting

Desirable Skills and Experience

Experience with PL/SQL development (stored procedures, functions, packages)
Knowledge of SQL Server and T-SQL development
Experience with ETL tools like Informatica and Control-M
Unix shell scripting skills for data processing and automation
Familiarity with CI/CD pipelines for database code
Experience with AWS services, particularly S3, Lambda, and Step Functions
Knowledge of database security best practices
Experience with data visualization tools (Tableau, Power BI)
Background in mentoring junior developers or knowledge sharing
Experience of front office investment risk and/or analytics systems

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