We are seeking a skilled professional with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.

• 2–5 years of experience in Data Engineering, Software Engineering, or Analytics


• Strong SQL and Python skills with comfort working in Bash/Shell


• Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3


• Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows


• Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred)


• Abil...