Position Description:
Develops PL/SQL and Extract Transfer and Load (ETL) code using Python. Delivers and releases valuable source code to applications across teams and according to Agile methodologies. Builds and deploys applications using Continuous Integration (CI) pipelines – Jenkins GitHub, Liquibase, and Amazon Web Services (AWS) Code Commit. Performs unit and integration testing using SQL queries, Python, and Spark. Provides ETL solutions by developing complex or multiple software applications. Crafts and implements operational data stores in multi-site High Availability environments using Amazon Web Services (AWS).
Primary Responsibilities:
- Prepares and maps technical design documents by capturing business and application requirements.
- Participates in sprint meetings and maintains feature feasibility and deployment.
- Validates, builds, and deploys analytical solutions across business functions.
- Extracts data from Oracle Analytics Servers (OAS) through Python scripts for Amazon Simple Storage Service (Amazon S3).
- Designs and develops pipelines with framework to transform and cleanse data.
- Coordinates Airflow tasks in production by monitoring and analyzing subjects through Airflow Console.
- Crafts and implements operational data stores and lakes in production environments.
- Develops and coordinates data life cycle in Python.
- Deploys database and applications through established Continuous Integration and Continuous Delivery (CI/CD) pipelines, using GitHub and Jenkins.
Education and Experience:
Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Business Administration, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing and building Web-based transaction processing applications and solutions in a financial services environment, using Python.
Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Business Administration, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing and building Web-based transaction processing applications and solutions in a financial services environment, using Python.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise (“DE”) developing software applications and tools in a Linux environment, using Python and SQL; and developing product roadmaps in support of data improvement using Colibra.
- DE performing database virtualization and coordinating test data management, data governance, lineage, and analytics, using Apache Kafka, Tableau, or PowerBI; and defining, developing, and implementing solutions to collect and deliver organizational metrics via dashboards, using PowerBI.
- DE developing ELT pipelines to migrate data to and from OBIEE catalog to Postgres; staging data on AWS and orchestrating ETL jobs by developing E2E ETL/ELT data pipelines using AWS Airflow; and automating the deployment of database and applications through established CI/CD pipelines, using GitHub, Liquibase, AWS Code Commit, or Jenkins.
- DE automating the build and release of software applications using Python and Shell scripting; and designing, developing, and deploying E2E infrastructure to host scalable business software in AWS, Azure cloud (IaaS and PaaS), or On premises.
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Certifications:Category:Information TechnologyFidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
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What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
