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Bolsa de trabajo Procesamiento de datos (Tecnologías de la Información Sistemas) tiempo completo Desde casa - OCC

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Databricks Developer

Sueldo no mostrado por la empresa

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Hoy

Databricks Developer

Si el reclutador te contacta podrás conocer el sueldo

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Sobre el empleo

Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Procesamiento de datos
Educación mínima requerida: Técnico

Detalles

Contratación:

Permanente

Horario:

Tiempo completo

Espacio de trabajo:

Híbrido

Descripción

We're hiring!

At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!

We have an exciting opportunity for an exceptional individual to work supporting one of our client


Responsibilities

  • Develop and optimize data workflows using Spark in Scala to ensure efficient data processing and analysis.
  • Implement and manage Databricks Unity Catalog Admin to maintain data governance and security.
  • Utilize Apache Airflow to orchestrate complex data pipelines and automate workflows.
  • Integrate and manage data storage solutions using Amazon S3 and Amazon Redshift for scalable data management.
  • Collaborate with cross-functional teams to design and implement data solutions that meet business requirements.
  • Write and maintain Python scripts to automate data processing tasks and enhance system functionality.
  • Leverage Databricks SQL to perform complex queries and data transformations for insightful analytics.
  • Implement Databricks Delta Lake to ensure data reliability and consistency across various platforms.
  • Design and execute Databricks Workflows to streamline data operations and improve efficiency.
  • Utilize PySpark to process large datasets and extract meaningful insights for decision-making.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Provide technical support and guidance to team members to foster a collaborative work environment.
  • Contribute to the continuous improvement of data processes and methodologies to enhance overall performance.

Qualifications

  • Possess strong expertise in Spark in Scala and Databricks Unity Catalog Admin.
  • Demonstrate proficiency in Apache Airflow and Amazon S3 for data orchestration and storage.
  • Have experience with Amazon Redshift and Python for data management and automation.
  • Show capability in using Databricks SQL and Delta Lake for data analysis and reliability.
  • Exhibit skills in designing Databricks Workflows and utilizing PySpark for data processing


Why Cognizant?

Improve your career in one of the largest and fastest growing IT services providers worldwide

Receive ongoing support and funding with training and development plans

Have a highly competitive benefits and salary package

Get the opportunity to work for leading global companies

We are committed to respecting human rights and build a better future by helping your minds and the environment

We invest in people and their wellbeing.

We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.

At Cognizant we believe than our culture make us stronger!

Join us now!

#BeCognizant #IntuitionEngineered


Igualdad de Empleo y Política de Acción Afirmativa:

Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.

Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.

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