Data Engineer /Developer

Strong experience with Python and SQL for data engineering. Solid understanding of cloud platforms (ideally GCP) and data services (BigQuery, Cloud Storage, etc.). Hands-on experience with Infrastructure-as-Code tools like Pulumi or Terraform. Experience with Airflow, dbt, or similar orchestration/transform tools. Proficiency in Docker and Kubernetes for data workflows. Understanding of Linux systems, cloud networking, and security best practices. Experience with CI/CD pipelines and version control (GitLab or similar).

Understand, format and prepare data for analytics and data-science processes. Design, build, and optimize scalable ETL/ELT pipelines for batch and streaming data. Collaborate with analysts to understand data needs and ensure accessible, well-modeled data sets. Dive deep into system metrics and usage patterns to identify opportunities for FinOps-driven cost savings. Manage data infrastructure on GCP (BigQuery, Cloud Composer, Vertex AI, Kubernetes, etc.). Automate infrastructure provisioning using Pulumi or Terraform. Set up data quality monitoring, alerting, and logging systems. Collaborate with data scientists and ML engineers to productionize models and build supporting pipelines. Continuously improve performance, scalability, and cost-efficiency of data workflows.