Data Engineer

Job Description:

We are currently seeking a Data Engineer to support Asset Management’s Equity data needs.

This is a hands-on role where you will understand the requirements, contribute to the development of specific product features including provisioning of datasets, database development in Oracle, ETL development, applying the best engineering practices, testing, deployment, and providing L3 support.

The Expertise We’re Looking For

• •Degree or equivalent in Computer Science, Engineering or related discipline
• •Minimum of 2 years of experience in Oracle SQL & PL/SQL
• •Some experience in data analysis
• •Experience in SQL and PL/SQL performance tuning
• •Exposure to Agile development practices

The Skills You Bring

• •Familiarity with logical data modelling and relational database design
• •Data movement and ETL experience would be beneficial (preferably Informatica)

Experience working with native AWS services, creating Data APIs, Snowflake and Python would be advantageous

• •Unix scripting and AutoSys skills would also be a plus
• •Data Warehousing knowledge would be advantageous

· Oracle APEX knowledge would be advantageous

• •Experience with a source control system
• •Ability to work with project teams located in multiple geographic locations
• •Financials and Investment domains exposure will be a plus.

The Value You Deliver

• •Contribute to the delivering of high quality, timely, cost effective and maintainable software solutions in an agile environment to meet functional and non-functional business requirements.
• •Complying with and helping to adopt good engineering practices such as test-driven development, code and design reviews, Oracle Xplans, CI/CD
• •Work as part of a team in delivering complex technical features
• •Communicate effectively in a team-oriented environment
• •You demonstrate a positive, collaborative attitude while delivering individually

How Your Work Impacts the Organization

The position aligns to the Asset Management Technology organization which provides worldwide technology and support to the Investment Management, Research, Trading and Investment Operations functions. This Data Engineer role involves developing consistent, reliable, maintainable, performance focused code for Equity Data platforms leveraged by the applications supporting Fidelity’s Asset Management business.

The team environment consists of a global Asset Management data engineering team of approx. 300 associates including Data Engineers, Data Modelers, DBAs plus working with Data Architecture partners.

Company Overview

Why Fidelity?

• •A company that is committed to innovation and being an industry leader by investing in technology
• •More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide
• •Access to top-tier technology platforms, tools and frameworks
• •Challenging positions and numerous opportunities for personal and professional growth
• •Competitive compensation and benefits package that includes bonus, health insurance, pension, life assurance and a variety of work/life programs

Company Culture

At Fidelity, we reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees’ individual differences can contribute to the bright and strong future of our company.

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity established an Ireland presence in 1996 and we currently employ 1,400 staff across IT and shared services, with offices in Dublin (City West) and Galway (Parkmore East).

For information about working at Fidelity, visit www.fidelityinvestments.ie .

Fidelity Investments is an equal opportunity employer.

Category:

Information Technology