Principal Data Engineer

Fidelity Investments Inc.; Westlake (TX); Vor Ort; USD 160.000 - 210.000; Vollzeit

Zusammenfassung

Fidelity Investments Inc. seeks a Principal Data Engineer to design, implement, and optimize database systems across Oracle and Snowflake while building scalable data pipelines in AWS.

You will develop real-time BI reports with Oracle Analytics Cloud and Power BI, and lead ETL via Informatica and Snap Logic. Responsibilities include crafting architecture, delivering documentation, and guiding teams through complex data integrations, data quality, and security requirements in a financial services

Qualifikationen

• Bachelor’s or Master’s degree in a closely related field with years in data engineering in financial services.
• Experience designing and supporting data integration and reporting platforms.
• Proficient with cloud analytics tools and BI suites, and ETL pipelines.

Aufgaben

• Monitor and optimize database performance and design scalable database systems.
• Develop and maintain data pipelines, ETL, and data warehousing in cloud environments.
• Lead CI/CD initiatives to automate deployments and improve reliability.
• Mentor junior engineers and provide technical guidance on strategy and risk.
• Develop documentation and ensure security, availability, and governance of data assets.

Kenntnisse

Cloud technologies

Oracle Analytics Cloud

Power BI

Snowflake

Informatica

PL/SQL

Python

AWS

CI/CD

Jenkins

Automated testing

Shell scripting

Data modeling

ETL development

Oracle Database

Ausbildung

Bachelor's degree in CS/Engineering/IT

Five years as Principal Data Engineer

Master's degree in CS/Engineering/IT

Finance data/Reporting experience

Tools

Jenkins

Maven

GitHub

Stash

Bitbucket

Informatica

SnapLogic

Apache Airflow

Control-M

AWS

Snowflake

Jobbeschreibung

Job Description:

Position Description :

Designs, implements, and maintains the organization’s database systems. Ensures the scalability, reliability, performance, and security of databases by performing database tuning and optimization techniques. Incorporates and streamlines test automation into software application builds, using Continuous Integration/Continuous Delivery (CI/CD) pipeline tools – Jenkins and Maven. Writes and optimizes SQL queries and stored procedures, using SQL, PL/SQL, Python, and shell scripting languages for development of databases. Develops applications in a Cloud environment using Amazon Web Services (AWS). Builds reports and dashboards in Oracle Business Intelligence tools and PowerBI. Creates and maintains database schema and objects (tables, views, indexes, and triggers) for easy access of database systems – Oracle and Snowflake. Enhances the data integration platform using Extract, Transform, Load (ETL) technologies – Informatica and Snap Logic. Implements and supports databases in an AWS Cloud Infrastructure environment and in AWS managed Databases.

Primary Responsibilities:

• Monitors and optimize database performance by implementing various database designs and modelling techniques.
• Designs and implements database systems to support business requirements.
• Translates the vision for divisional initiatives into business solutions by developing complex or multiple software applications.
• Defines and implements application-level architecture.
• Develops comprehensive documentation for multiple applications or subsystems.
• Establishes full project life cycle plans for complex projects across multiple platforms.
• Advises senior management on technical strategy and risk management strategies for projects.
• Mentors junior team members.
• Maintains the performance, availability, and security of the databases.
• Troubleshoots and resolve issues with databases and related systems, by continuously monitoring and optimizing database performance.
• Confers with data processing or project managers to obtain information on limitations or capabilities for data processing projects.
• Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
• Develops software system testing and validation procedures, programming, and documentation.

Education and Experience :

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) developing and supporting data integration and reporting platforms in a financial services environment.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) developing and supporting data integration and reporting platforms in a financial services environment.

Skills and Knowledge :

Candidate must also possess:

• Demonstrated Expertise (“DE”) implementing Cloud technologies using Oracle Analytics Cloud (OAC); delivering real time reports with actionable insights to stakeholders using advanced BI tools (Oracle Analytics Server (OAS), Oracle Business Intelligence (OBIEE), and Power-BI), to create dynamic, user-driven reports for multidimensional data analysis and online analytical processing (OLAP).
• DE performing data engineering, migration, and modelling in a Cloud based data warehouse platform, using Snowflake, Python, Snaplogic, Apache Airflow, and AWS S3 containers (staging layer); developing code to process large datasets in relational environments and improving data workflows and data availability for business operations, using Informatica and PL/SQL.
• DE designing and developing data pipelines for data warehouses (including extract, transform, load (ETL) from VSAM and DB2), using Informatica and zNFS in Agile frameworks (Scrum and Kanban), within a financial services domain; integrating data pipelines with ex-ternal PL/SQL and UNIX Shell scripting; creating and managing batch jobs, using Control-M and Informatica servers; and identifying bottlenecks in ETL packages and providing best suited solutions.
• DE applying DevOps principles throughout the Software Development Life Cycle (SDLC); building and promoting CI/CD pipelines to automate deployments, using Jenkins, Jenkins Core, Stash, Bit-bucket, and GitHub; and improving system reliability and supporting continuous delivery of data engineering solutions, using Cloud platforms (AWS, Azure, IBM uDeploy, and Ansible).

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Certifications:

Category:

Information Technology

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.