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Cognizant Data Engineer in Monterrey, Mexico

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 clients as Data Engineer

Responsibilities:

· Lead the design and implementation of data architecture solutions using Databricks Unity Catalog Admin.

· Oversee the development and deployment of Databricks CLI scripts to automate workflows.

· Provide expertise in Python programming to enhance data processing capabilities.

· Develop and optimize SQL queries within Databricks SQL to ensure efficient data retrieval.

· Implement and manage Databricks Delta Lake to ensure data integrity and performance.

· Design and manage Databricks Workflows to streamline data pipelines.

· Utilize PySpark to perform large-scale data processing and analytics.

· Collaborate with cross-functional teams to understand data requirements and deliver solutions.

· Ensure data security and compliance with industry standards.

· Conduct performance tuning and optimization of data workflows.

· Provide technical guidance and mentorship to junior team members.

· Contribute to the continuous improvement of data architecture practices.

· Stay updated with the latest industry trends and technologies to drive innovation.

Required Skills:

· 8 to 12 years of experience

· Must have strong experience in Databricks Python MLOps Palantir AWS API Development.

· Nice to have experience in the Industrial Manufacturing domain.

· Must be proficient in English (Read/Write Speak).

· Must have a minimum of 8 years and a maximum of 12 years of relevant experience.

· Must have experience in hybrid work model environments.

· Must be able to work day shifts.

· Must have strong problem-solving and analytical skills.

· Must be able to collaborate effectively with cross-functional teams.

· Must have a proactive approach to learning and applying new technologies.

· Must have excellent communication and documentation skills.

· Must be detail-oriented and able to manage multiple tasks simultaneously.

· Must have a strong understanding of data security and compliance.

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.

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.

At Cognizant we believe than our culture make us stronger!

Join us now!

#BeCognizant #IntuitionEngineered

Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

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