- Develop and maintain data pipelines using Azure Data Factory, Databricks, PySpark, Python, and SQL.
- Perform data ingestion, transformation, and ETL/ELT pipeline optimization.
- Provide L2/L3 production support, troubleshoot pipeline failures, and perform root cause analysis.
- Monitor workflows, resolve incidents, and ensure SLA compliance.
- Automate monitoring and support activities and maintain technical documentation.
Preferred candidate profile
- 47 years of overall IT experience with relevant data engineering and production support experience.
- Looking only for immediate joiners
- Experience in production support is mandatory
- Solid hands-on experience in Azure Data Factory, Databricks, PySpark, Python, and complex SQL.
- Experience in production support, incident management, and troubleshooting.
- Good understanding of ETL/ELT processes and cloud data platforms.
- Bachelor's degree in Computer Science, IT, or a related field.
📌 System Engineer / Senior System Engineer -DE Support (Azure Databricks (Hyderabad)
🏢 Tiger Analytics
📍 Hyderabad
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