Design and implement scalable cloud analytics platforms on GCP, collaborating with global engineering teams to define and implement enterprise data strategies. Leverage expertise in GCP and data engineering to modernize legacy applications and build unified data platforms. Enable insights through AI/ML platforms and modern data solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Position: Data Engineer
Location: Fully Remote Mexico
Duration: Perm
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