DevOps​/Data Engineer; Snowflake, DBT, Airflow

About the Role

We are seeking a hands‑on Dev Ops/Data Engineer with strong experience across Snowflake, DBT, and Airflow
, combined with solid Dev Ops skills for automation, CI/CD, and cloud‑based infrastructure. This role will support both data engineering workloads and Dev Ops 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
.

✔ 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 Dev Ops and Data Engineering functions depending on workload demands

Must have:

🔹 2–6 years of hands‑on experience in Dev Ops and/or data engineering

🔹 Proven experience with Project examples showing what you built/contributed

🔹 Strong experience with:

• Snowflake
• DBT
• Airflow
• CI/CD pipelines (Git Lab, Git Hub Actions, Jenkins, etc.)
• Python SQL

➕ Terraform (IaC)

➕ Docker / Kubernetes

➕ Experience with performance monitoring and observability