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Senior Data Engineer, Snowflake, MySQL, Python
Fidelity Investments. Develop and deploy data solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying data solutions, with a strong focus on SQL, Python, and data modeling techniques. Proven ability to collaborate effectively within Agile frameworks and manage project outcomes independently.
Highest-signal resume keywords
Data Solutions DevelopmentSQL ProficiencyPython ScriptingAgile CollaborationETL/ELT Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonStored ProceduresData ModelingData AnalysisDebuggingTuningRefactoringQA and TestingLegacy Process Migration
Soft Skills
Written CommunicationVerbal CommunicationCollaborationSelf-OrganizationPriority Management
Tools & Technologies
InformaticaSnapLogicAzure FunctionsJenkinsGitGitHubTableauPower BIMySQLSnowflake
Industry Keywords
Agile FrameworkBusiness IntelligenceCI/CDCloud ConceptsData Solutions
Tech Stack
Tools & technologiesAWSAzureCloudETLInformaticaJenkinsMySQLPythonSnowflakeSQLTableau
About the role
Key responsibilities & impact- Develop and deploy data solutions
- Design, implement, and maintain processes, platforms, and products for clients
- Analyze, decompose, debug, tune, refactor, and migrate legacy processes
- Build, maintain, and tune stored procedures and complex SQL queries
- Perform QA and testing
- Build ELT pipelines and other data solutions using Python and related technologies
- Design and implement single- and multi-tenant data solutions using database design and data modeling techniques
- Collaborate with multiple teams in an Agile framework
- Advocate for effective use of software and data
- Support the implementation, launch, and ongoing maintenance of benefits-related microsites, tools, and online solutions
Requirements
What you’ll need- 5+ years in Technology with 3 years in developing and deploying data solutions
- Excellent written and verbal communication skills, including experience writing documentation
- Excellent collaboration skills to work with multiple teams
- Ability to deal with ambiguity and work in a fast-paced environment
- Self-organized and capable of managing priorities and delivering project outcomes independently with minimal oversight
- Systems analysis background with emphasis on legacy process decomposition, debugging, tuning, refactoring, and migrations
- Solid understanding of data analysis concepts and tools such as SQL, Python, and stored procedures
- Experience building, maintaining, and tuning stored procedures and complex SQL queries
- Highly proficient in QA and testing methodologies and concepts
- Comfortable working within an Agile framework
- Extensive SQL experience; knowledge of MySQL, SQLMI, and Snowflake preferred
- Hands-on ETL/ELT experience, preferably Informatica for legacy applications; SnapLogic and Azure Functions are a plus
- Experience with Python for building ELT pipelines or other scripting languages
- Experience designing and implementing single- and multi-tenant data solutions using database design and data modeling techniques
- Experience with CI/CD toolsets such as Jenkins, Jenkinscore, Udeploy, Git, and GitHub
- Experience with Azure or AWS cloud concepts and fundamentals is a plus
- Experience building scalable and robust data solutions for websites is a plus
- Business Intelligence development experience with Tableau or Power BI is a plus
- Development using DevAssist tools is a plus
- Fidelity will not provide immigration sponsorship for this position
Benefits
Comp & perks- Comprehensive health care coverage
- Emotional well-being support
- Market-leading retirement
- Generous paid time off
- Parental leave
- Charitable giving employee match program
- Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
- Potential bonus or other variable compensation depending on position and eligibility