DevOps/Python Engineer

Design, implement, and maintain highly available and scalable data pipelines leveraging tools such as Druid, Databricks, dbt, and Amazon Redshift Manage and optimize distributed data systems for real-time, batch, and analytical workloads Develop custom scripts and applications using programming languages (Python, Scala, or Java) to enhance data workflows and automation Implement automation for deployment, monitoring, and alerting of data workflows Collaborate with data engineering, analytics, and platform teams to deliver reliable and performant data services Monitor data quality, reliability, and cost efficiency across platforms Build and enforce data governance, lineage, and observability practices Work with cloud platforms (AWS/Azure/GCP) to provision and maintain data infrastructure Apply CI/CD and Infrastructure-as-Code (IaC) principles to data workflows Required Skills & Experience: 5+ years of experience in DataOps, Data Engineering, DevOps Engineering, or related roles Strong hands-on experience with Druid, Databricks, dbt, and Redshift (experience with Snowflake, BigQuery, or similar is a plus) Solid understanding of distributed systems architecture and data infrastructure at scale Proficiency in SQL and strong programming skills in at least one language (Python, Scala, or Java) Experience with orchestration tools (Airflow, Dagster, Prefect, etc.) Familiarity with cloud-native services on AWS, Azure, or GCP Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) VBeyond