Senior Data Engineer (GCP)

Dynamic Talent Solutions

₱80-110K[Mensual]
RemotoExp de 3-5 YrsBaceleroTiempo completo
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Detalles remotos

Abrir paísFilipinas

Requisitos de idiomaInglés

Este trabajo remoto está abierto a candidatos en países específicos. Por favor, confirme si desea continuar a pesar de las posibles restricciones de ubicación

Descripción del trabajo

Beneficios

  • Reconocimiento y Recompensas de Empleados

    Bono de rendimiento

  • Seguro de salud y bienestar

    Seguro de salud

  • Desarrollo profesional

    Desarrollo profesional

  • Tiempo de apagado y abandono

    Abandonar el Gobierno

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About the Job:

We are looking for a skilled and motivated Senior Data Engineer to join our global healthcare industry client, designing, developing, and implementing advanced data warehouse solutions. You will build and optimize data pipelines, models, and infrastructure to support analytics and reporting across Clinical, Patient Accounting, and Corporate functions. This cloud-focused role requires hands-on experience with modern technologies such as Google BigQuery or equivalent. The ideal candidate has strong SQL and data warehousing skills, ensures data quality and performance, drives process improvements, and collaborates with cross-functional teams to deliver reliable insights in a fast-paced healthcare environment.


Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology, or a related field
  • Strong SQL and relational database design/development expertise
  • Proven hands-on experience in data warehousing development (Teradata BTEQ, Oracle PL/SQL, SQL Server T-SQL, Netezza, or equivalent) with the ability and willingness to adapt to Google BigQuery
  • Proficiency in cloud-based data warehouse technologies such as Google BigQuery or similar
  • Skilled in building and optimizing large-scale data sets, data pipelines, and architectures
  • Strong experience in data modeling and data warehouse design
  • Ability to perform root cause analysis and deliver process improvements across structured and unstructured data
  • Excellent analytical and communication skills, with strong interpersonal ability to engage stakeholders at all levels
  • Willing to work on-site on training for 1-2 weeks at BGC, Taguig for IT Asset Collection
  • Willing to work in US hours (graveyard shift)

Preferred (Not Required):

  • Experience in healthcare data systems or patient financial service systems
  • Familiarity with big data tools such as Kafka and Spark
  • Knowledge of workflow management tools (e.g., Airflow) and programming/scripting languages, including Python, Scala, Java, or C++
  • Understanding of hospital information systems and healthcare system integration (Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen)
Data EngineeringData WarehousingGoogle BigQuery
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Fritz Jerson Paderes

HR OfficerDynamic Talent Solutions

Activo hoy

Publicado el 30 October 2025

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