Role & responsibilities

- Develop, maintain, and optimize data pipelines using Azure Databricks.

- Write efficient SQL queries for data extraction, transformation, and analysis.

- Design, develop, and support ETL/ELT processes.

- Deploy, monitor, and troubleshoot applications running on Kubernetes.

- Develop automation scripts using Python for data processing and operational tasks.

- Provide production support, incident management, and root cause analysis.

- Monitor data pipelines and ensure timely issue resolution.

- Work closely with business users, developers, and infrastructure teams.

- Maintain documentation for processes, workflows, and support activities.

- Ensure adherence to data quality, security, and governance standards.

Required Skills

- Hands-on experience with Azure Databricks (ADB).

- Robust knowledge of Python and SQL.





- Experience working with Kubernetes for deployment and monitoring.

- Good understanding of data engineering concepts and ETL processes.

- Experience in production support and troubleshooting.

- Knowledge of cloud platforms such as Azure.

- Strong analytical and problem-solving skills.

- Excellent communication and stakeholder management skills.

Preferred Skills

- Experience with CI/CD pipelines and DevOps practices.

- Knowledge of Spark, Delta Lake, or related big data technologies.

- Exposure to monitoring tools and incident management processes.

- Experience in a 24x7 support environment will be an added advantage.

📌 Walk-in || ADB Support Enginneer (Pune)
🏢 Hexaware Technologies
📍 Pune