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Jobs / Sofitechsolutions

Senior Data Analytics Engineer

Sofitechsolutions · ADD LOCATIONsenior

In short

  • ▸Ingeniero de análisis de datos senior que diseña y orquesta pipelines de datos completos en la nube.
  • ▸Trabaja con equipos técnicos para automatizar procesos, crear visualizaciones y mejorar la arquitectura de datos.
  • ▸Destacado: trabaja en un entorno de fintech con alta impacto en seguridad, cumplimiento y análisis de decisiones.
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What they ask for

  • ✓Maestría en Ciencias de la Computación, Ingeniería o disciplina cuantitativa relacionada
  • ✓2 años de experiencia en análisis de datos o campo relacionado
  • ✓Diseño de data warehouses y modelado de datos
  • ✓Experiencia en ETL, SQL y lenguajes de scripting (Python o PowerShell)
  • ✓Uso de plataformas en la nube (Azure o AWS)
  • ✓Habilidades en visualización de datos (Tableau o Power BI)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLPythonPowerShellAzureAWSTableauPower BIETLData WarehouseData Modeling

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Employee Applicant Privacy Notice Who we are: Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. SoFi Tech Solutions (formerly Galileo Financial Technologies) is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. SoFi Tech Solutions leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://tech.sofi.com/careers/ . SoFi Technology Solutions, LLC (fka Galileo Financial Technologies, LLC) seeks Senior Data Analytics Engineer in Seattle, WA: Job Duties: Contribute to the design, orchestration and development of ongoing data science projects from data ingestion to presentation. Work with platform engineers and others to develop tools/frameworks needed to carry out projects. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Research new data engineering and analytics methodologies with minimal guidance and support from other team members. Synthesize insights from raw data. Build dashboards and other visualizations; communicate findings internally and externally. Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed. Full-time telecommuting is an option. Requirements: Master’s degree in Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Data warehouse design (2) Data modeling (3) Extract, Transform, Load (ETL); (4) SQL; (5) Scripting language (python or powershell); (6); Cloud platform (Azure or AWS); (7) Data Visualization (Tableau or Power BI); (8) Business Intelligence and reporting application development and support (9) Data quality and reconciliation (10) Analytics Data Architecture. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $239,774.00 - $263,751.00 per year & standard company benefits. Submit resume with references using the apply button on this posting or by email to: Req.# 1014.91.2 at: ATTN: HR, jobadverts@sofi.org . #LI-DNI Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. <

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