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.)