Data Engineer

Cognizant; Ciudad de México; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading global digital solutions company is seeking a Data Engineer to design and implement data architectures using GCP technologies. The role involves collaborating with cross-functional teams and optimizing data workflows and pipelines. The ideal candidate has over 5 years of experience and advanced English skills. This position offers a 100% remote work model.

Formación

• 5+ years experience in data engineering or related fields.
• Proficiency in cloud technologies and data architecture.

Responsabilidades

• Design and implement scalable data architectures using Cloud SQL and BigQuery.
• Collaborate with teams to integrate Cloud Pub/Sub for data streaming.
• Develop data workflows using Cloud Composer for orchestration.
• Implement data pipelines with Cloud Dataflow for real-time analytics.
• Ensure data security and compliance with standards.
• Conduct performance tuning of data systems to improve efficiency.

Conocimientos

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

Python

SQL

Advanced English

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

• 5+ years experience in the following technologies: 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.