INTL - MX - GCP Data Engineer

Job Description 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Skills and Requirements 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)