Job Description
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.

Required Skills
- 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.

Valuable To Have
- Terraform
- Kubernetes
- Power BI
- GitLab
- Shell Scripting
- Jira & Confluence
- Feature Leadership experience

(ref:hirist.tech)

📌 Coffeebeans.io - Data Support Engineer (Chennai Metropolitan Area)
🏢 CoffeeBeans
📍 Chennai Metropolitan Area