GCP Data Engineer

Insight Global; México; Presencial; MXN 790.128 - 926.280; Jornada completa

Descripción de la vacante

A leading IT services provider is seeking a Mid-Senior Level Data Engineer in Mexico. In this full-time role, you'll modernize legacy applications and build scalable cloud analytics platforms using your expertise in Google Cloud Platform (GCP). Ideal candidates will have over 5 years of experience in analytics application development and SQL, along with strong understanding of cloud architecture, DevOps, and best practices for cloud security. Competitive pay rate offered with an annual bonus based on performance.

Formación

• 5+ years of analytics application development experience.
• In-depth understanding of cloud architecture and Google Cloud Platform services.
• Strong understanding of DevOps principles, CI/CD pipelines, and automated testing.

Responsabilidades

• Modernize legacy applications and build scalable cloud analytics platforms.
• Collaborate with global engineering teams on enterprise data strategies.
• Design and deliver a unified data platform on GCP.

Conocimientos

GCP cloud experience

SQL development

Cloud architecture understanding

DevOps principles

Descripción del empleo

Pay rate: 70,800 - 83,000 MX Peso/month (Annual Bonus Based on Performance 9%)

(**Pay rate is based on 5+ YOE)

Day to Day:

In this role, you’ll leverage your expertise in GCP and data engineering to modernize legacy applications and build scalable cloud analytics platforms. You’ll collaborate with global engineering teams to define and implement enterprise data strategies, working closely with stakeholders to align solutions with business needs and regulatory requirements. Your responsibilities will include designing and delivering a unified data platform on GCP, guiding teams on data modeling and architecture, and advising on best practices for cloud security, DevOps, and data mesh. You’ll also support proof-of-concepts, product evaluations, and integration efforts, while enabling insights through AI/ML platforms and modern data solutions.

Target Experience:

• 5+ years of analytics application development experience
• 5+ years of SQL development experience
• GCP cloud experience is required
• In-depth understanding of cloud architecture and Google Cloud Platform services
• Strong understanding of DevOps principles, CI/CD pipelines, and automated testing
• Familiarity with cloud security best practices (IAM, encryption, network security)
• Experience with domain-driven design and data mesh principles
• Ability to design and implement data lakes, warehouses, and analytics platforms
• Strong understanding of microservices architecture

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting and IT System Data Services