Senior Data Engineer

Job Description:

Position Description:

Writes clean, testable, readable, and easily maintainable code using SQL and PL/SQL. Migrates data using platforms – Informatica and DataStage -- and Extract Transform Load (ETL) procedures. Builds code, runs tests, and safely deploys a new version of applications using Continuous Integration/Continuous Delivery pipelines (CI/CD). Evaluates models, tunes performance, and optimizes the operationalization and scalability of Business Intelligence (BI) techniques. Establishes decision strategies in an Agile environment. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Develops original and creative technical solutions to on-going development efforts.

• Designs applications or subsystems on major projects and for/in multiple platforms.

• Develops applications for multiple projects supporting several divisional initiatives.

• Supports and performs all phases of testing leading to implementation.

• Assists in the planning and conducting of user acceptance testing.

• Develops comprehensive documentation for multiple applications supporting several corporate initiatives.

• Responsible for post-installation testing of any problems.

• Establishes project plans for projects of moderate scope.

• Works on complex assignments and often multiple phases of a project.

• Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Electronics, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) developing complex Oracle database applications within an asset management environment.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Electronics, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) developing complex Oracle database applications within an asset management environment.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) designing and implementing complex data solutions to move high-volume data to/from operational data stores (ODS) using Oracle, Informatica, Control-M, and PL/SQL in an asset management environment.

• DE applying CI/CD practices to database releases -- automated deployments -- using Jenkins, Urban Code Deploy (uDeploy), and Unit Testing (UT) PL/SQL.

• DE integrating reference and common data into a single environment using a Master Data Management (MDM) and Common Data Environment system.

• DE designing, implementing, and maintaining fund accounting applications of high volume and low latency, and analyzing user requirements per defined business objectives, using development languages (PL/SQL or Python).

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Certifications:

Category:

Fidelity’s working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).