We are searching for a Senior Data Engineer with strong cloud experience and a passion for delivering impactful data products. You'll help shape the foundation for analytics, reporting, and machine learning by working on the entire data lifecycle—from ingestion to insight—using cutting-edge tools on Google Cloud Platform.

Key Responsibilities

• Define and maintain data models and warehouse schemas optimized for analytics performance and reporting needs.
• Use Cloud Composer and scripting tools to orchestrate automated workflows, ensuring smooth and efficient operations.
• Participate in the definition and implementation of business KPIs, supporting BI teams with the right data structures.
• Apply DevOps practices to data engineering workflows, such as CI/CD, infrastructure-as-code (e.g., Terraform) and test automation.
• Troubleshoot and optimize pipelines, solving issues related to transformation logic, availability, and system latency.
• Construct scalable ETL/ELT processes for real-time and batch data ingestion, transformation, and delivery.
• Build pipelines using GCP services such as BigQuery, Pub/Sub, Cloud Functions, Cloud Run, and Dataflow.
• Collaborate with analysts and data scientists to design data solutions aligned with business questions.
• Implement governance controls, validation layers, and tracking to ensure data quality and compliance.
• Monitor cloud resource usage and optimize architectures for cost-efficiency without compromising performance.

Skills & Experience Required

• Hands-on experience managing structured, semi-structured, and unstructured data across various storage and processing systems.
• Strong skills in SQL and Python, with proven ability to build efficient data pipelines and automation scripts.
• At least 3 years of solid experience with Google Cloud Platform, especially services like BigQuery, Pub/Sub, Dataflow, and Cloud Functions.
• 7+ years working in data engineering or architecture, with a proven ability to design data systems at scale.
• Knowledge of dimensional modeling, data lake/lakehouse approaches, and modern data mesh patterns.
• Experience with BI platforms such as Looker, Power BI, or Tableau.
• Familiarity with cloud-native software development practices, including Agile methodology and automated deployment workflows.
• Solid understanding of security frameworks, data governance, and regulatory compliance requirements.
• Background in infrastructure-as-code using tools like Terraform is a plus.
• Bonus points if you hold a GCP Professional Certification (Data Engineer or Architect), or if you have experience integrating engineering solutions with frontend applications or platforms.

If you're ready to join this incredible team, apply now!