INTL - MX - GCP Data Engineer

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.

Must Have:

• 5+ years of analytics application development experience

• 5+ years of SQL development experience

• Any amount of 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 Plusses:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

• Google Professional Cloud Data Engineer certification

• Experience in banking or financial regulatory reporting

• Experience migrating legacy analytics applications to cloud platforms

• Strong leadership, communication, and presentation skills

• Exposure to diverse technologies and platforms

• Ability to work in fast-paced, multi-project environments

• Strong experience with GCP Big Data tools such as BigQuery, BigTable, Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Build, Airflow, and Terraform (or equivalent technologies)