Coffeebeans.io - Data Support Engineer

Key Responsibilities :

• Monitor, maintain, and support enterprise data platforms and production environments.
• Build, manage, and troubleshoot data pipelines using Databricks and Spark.
• Handle production incidents, perform root cause analysis (RCA), and ensure timely issue resolution.
• Develop and maintain data workflows using Airflow.
• Work with Azure services and Unity Catalog to manage enterprise data solutions.
• Collaborate with cross-functional teams to ensure data quality, platform reliability, and operational excellence.
• Participate in on-call support and production maintenance activities.
• Prepare technical documentation and support continuous platform improvements.

• 5 - 8 years of experience in Data Engineering and DataOps.
• Minimum 3 years of hands-on experience in Data Production Support and Incident Management.
• Strong expertise in :
• Python
• Databricks
• Unity Catalog
• ADLS (Azure Data Lake Storage)
• Apache Spark
• Apache Airflow
• Data Pipeline Architecture & Design
• Azure Services (Kubernetes, AVD, Log Analytics Workspace, Azure SQL, Cost Management)
• Troubleshooting & Root Cause Analysis (RCA)
• Incident Management
• Stakeholder Management
• Excellent communication and analytical skills.

• Terraform
• Kubernetes
• Power BI
• GitLab
• Shell Scripting
• Jira & Confluence
• Feature Leadership experience