Job Description:
Position Description:
Designs data analysis and production rollout project activities in Snowflake and Amazon Web Services (AWS). Develops Extract, Load, Transform (ELT) and Extract, Transform, Load (ETL) technologies –SSIS, Power Center Cloud Tools, and Informatica Snowflake Connector. Deploys Continuous Integration (CI) and Continuous Delivery (CD) pipelines using Maven, Jenkins, Stash, Ansible, and Docker. Participates in the entire Software Development Lifecycle (SDLC) according to Agile development methodologies (Kanban and SCRUM) using Unix/Linux Shell Scripting. Provides business solutions by developing complex or multiple software applications.
Primary Responsibilities:
Education and Experience:
Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) designing, building, and optimizing data pipelines, ETL processes, and data integration solutions to ensure reliable and scalable data management across operational or analytical capability platforms using Informatica PowerCenter, Dataiku, and Databricks.
Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) designing, building, and optimizing data pipelines, ETL processes, and data integration solutions to ensure reliable and scalable data management across operational or analytical capability platforms using Informatica PowerCenter, Dataiku, and Databricks.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) developing CI/CD pipelines using Docker, Stash, Jenkins, uDeploy, Mavens, and Ansible; coordinating changes to source code using version control systems (Git); and writing automated tests using Python and Unix.
DE performing data modeling and database design using Star and Snowflake, Data Vault techniques, and dimensional structures (types 1, 2, and 3) in a data warehouse environment with distributed frameworks (Snowflake and PySpark) and databases (Oracle and DB2).
DE automating end-to-end workflows, and defining and building API integrations, using cloud-based integration tools — Informatica PowerCenter, Dataiku, and Databricks.
DE building end-to-end ETL pipelines and orchestration for large-scale data warehousing and Online Transaction Processing (OLTP) projects using cloud infrastructure (AWS and Azure) and project management methodologies (Agile, Scrum, or Kanban).
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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.
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.