DevOps / Data Engineer (Snowflake, DBT, Airflow) - Contract - Hybrid

About the Role We are seeking a hands-on DevOps/Data Engineer with strong experience across Snowflake, DBT, and Airflow, combined with solid DevOps skills for automation, CI/CD, and cloud-based infrastructure. This role will support both data engineering workloads and DevOps initiatives, so flexibility and versatility are key. The ideal candidate understands data pipelines end-to-end — from ingestion and transformation to deployment and observability — and can clearly articulate individual contributions on past projects. Key Responsibilities ✔ Design, build, and maintain scalable data pipelines using Snowflake, DBT, and Airflow ✔ Develop CI/CD pipelines and automate deployments for data workloads and cloud infrastructure ✔ Contribute to Dimensional Modeling and ELT/ETL transformations ✔ Deploy and manage infrastructure using IaC tools (Terraform is preferred) ✔ Collaborate with data, analytics, and platform teams to support business use cases ✔ Document architecture and ensure monitoring, logging, and alerting are in place ✔ Work across DevOps and Data Engineering functions depending on workload demands Required Skills & Experience Must have: 🔹 2–6 years of hands-on experience in DevOps and/or data engineering 🔹 Proven experience with Project examples showing what you built/contributed 🔹 Strong experience with: • Snowflake • DBT • Airflow • CI/CD pipelines (GitLab, GitHub Actions, Jenkins, etc.) • Python + SQL Nice to have: ➕ Terraform (IaC) ➕ Docker / Kubernetes ➕ Experience with performance monitoring and observability