INTL - MX - GCP Data Engineer

Job Description Day to Day: In this role, youu2019ll leverage your expertise in GCP and data engineering to modernize legacy applications and build scalable cloud analytics platforms. Youu2019ll 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. Youu2019ll 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Must Have: u2003u2022 5+ years of analytics application development experience u2003u2022 5+ years of SQL development experience u2003u2022 Any amount of GCP cloud experience is required u2003u2022 In-depth understanding of cloud architecture and Google Cloud Platform services u2003u2022 Strong understanding of DevOps principles, CI/CD pipelines, and automated testing u2003u2022 Familiarity with cloud security best practices (IAM, encryption, network security) u2003u2022 Experience with domain-driven design and data mesh principles u2003u2022 Ability to design and implement data lakes, warehouses, and analytics platforms u2003u2022 Strong understanding of microservices architecture Plusses: u2003u2022 Bacheloru2019s degree in Computer Science, Engineering, Data Science, or related field u2003u2022 Google Professional Cloud Data Engineer certification u2003u2022 Experience in banking or financial regulatory reporting u2003u2022 Experience migrating legacy analytics applications to cloud platforms u2003u2022 Strong leadership, communication, and presentation skills u2003u2022 Exposure to diverse technologies and platforms u2003u2022 Ability to work in fast-paced, multi-project environments u2003u2022 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)

Created: 2025-12-05