DevOps/Python Engineer

Design, implement, and maintain highly available and scalable data pipelines leveraging tools such as Druid, Databricks, dbt, and Amazon RedshiftManage and optimize distributed data systems for real-time, batch, and analytical workloadsDevelop custom scripts and applications using programming languages (Python, Scala, or Java) to enhance data workflows and automationImplement automation for deployment, monitoring, and alerting of data workflowsCollaborate with data engineering, analytics, and platform teams to deliver reliable and performant data servicesMonitor data quality, reliability, and cost efficiency across platformsBuild and enforce data governance, lineage, and observability practicesWork with cloud platforms (AWS/Azure/GCP) to provision and maintain data infrastructureApply CI/CD and Infrastructure-as-Code (IaC) principles to data workflowsRequired Skills & Experience:5+ years of experience in DataOps, Data Engineering, DevOps Engineering, or related rolesStrong 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 scaleProficiency 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 GCPExperience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.)