À propos
Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform\n Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases\n Implement best practices for data security, governance, CI/CD, and automated deployment\n Collaborate with data engineers, architects, data scientists, and business stakeholders\n Produce high-quality, reusable code and mentor team members on best practices\n Support testing, deployment, monitoring, and production troubleshooting Requirements:
7+ years of IT experience\n 5+ years in Data Architecture\n Minimum 2+ years of hands-on experience with Google Cloud Platform\n 2+ years of API development experience\n Solid understanding of Agile methodologies\n Strong problem-solving, communication, and collaboration skills\n Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs\n Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures\n Experience with CI/CD, Git/GitHub, and Agile methodologies\n Strong communication skills and ability to mentor junior engineers\n Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI (preferred)\n Google Cloud Professional Data Engineer Certification (preferred)\n Bachelor’s degree in computer science or related field (Master’s preferred) Benefits:
Paid time off based on employee grade (A-F)\n Vacation: 12-25 days, depending on grade\n Company paid holidays\n Personal Days\n Sick Leave\n Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)\n Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\n Life and disability insurance\n Employee assistance programs\n Other benefits as provided by local policy and eligibility
Compétences linguistiques
- English
Avis aux utilisateurs
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