Data Engineer

Cognizant; Ciudad de México; A distancia; MXN 800,000 - 1,100,000; Jornada completa

Descripción de la vacante

A global digital sector leader is seeking a skilled data architect. This fully remote position requires at least 5 years of experience in GCP technologies, strong skills in Python and SQL, and advanced English proficiency. You will design scalable data architectures, collaborate on data integrations, and ensure compliance with security standards. Join a dynamic team dedicated to fostering professional growth and innovation.

Formación

• At least 5 years of experience in GCP technologies.
• Proficient in Python and SQL.
• Advanced English communication skills.

Responsabilidades

• Design and implement scalable data architectures.
• Collaborate to integrate Cloud Pub/Sub for data streaming.
• Develop and optimize data workflows with Cloud Composer.
• Implement data processing pipelines using Cloud Dataflow.
• Ensure data security and compliance with industry standards.

Herramientas

GCP (BigQuery, Dataproc, Airflow, Composer, Pub/Sub)

Python

SQL

Descripción del empleo

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!

Qualifications

• At least 5 years of experience in GCP (BigQuery, Dataproc, Airflow, Composer, Pub/Sub)
• Python
• SQL
• ADVANCED ENGLISH IS A MUST
• 100% remote work

Responsibilities

• Design and implement scalable data architectures using Cloud SQL and BigQuery to support business objectives.
• Collaborate with cross-functional teams to integrate Cloud Pub/Sub for efficient data streaming and messaging.
• Develop and optimize data workflows using Cloud Composer to ensure seamless data orchestration.
• Implement data processing pipelines with Cloud Dataflow to ensure real-time data processing and analytics.
• Provide technical expertise in Python to develop and maintain data solutions that meet business requirements.
• Ensure data security and compliance with industry standards safeguarding sensitive information.
• Conduct performance tuning and optimization of data systems to improve efficiency and reduce latency.
• Collaborate with stakeholders to understand data requirements and deliver solutions that drive business value.
• Lead the evaluation and adoption of new technologies to enhance data infrastructure and capabilities.
• Provide guidance and mentorship to junior team members fostering a culture of continuous learning.
• Develop documentation and best practices for data architecture and engineering processes.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.