Role & responsibilities
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.
Valuable 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 Bengaluru
🏢 Tiger Analytics
📍 Bengaluru