Senior System Engineer - Azure Databricks (Bengaluru)

Senior System Engineer - Azure Databricks (Bengaluru)

13 Nov
|
Tiger Analytics
|
Bengaluru

13 Nov

Tiger Analytics

Bengaluru

We are hiring a Senior System Engineer with 4+ years of experience in Data Engineering Support. The role involves Data Engineering, monitoring, and optimization, with strong skills in Python, SQL, and Azure Cloud

- Experience: 4-8 years overall, with at least 3+ years in a lead role handling production support.

- Education: A Bachelors degree in Computer Science, Information Technology, or a related field is required.

- Provide L2/L3 production support for data engineering platforms and pipelines.

- Good Experience in Python and Pyspark

- Robust experience in writing complex SQL Queries

- Monitor, troubleshoot, and resolve issues in Azure Data Factory (ADF), Databricks, and SQL-based workflows.

- Manage data migration, ingestion, and transformation processes across multiple environments.

- Collaborate with data engineers, analysts, and business stakeholders to ensure smooth delivery of data solutions.

- Implement incident management, root cause analysis, and preventive measures to minimize downtime.

- Optimize performance of ETL/ELT pipelines and ensure adherence to SLAs.

- Automate monitoring and alerting processes using scripting (Python/PowerShell).

- Maintain documentation for production support processes, runbooks, and knowledge base.





- Participate in on-call rotations and provide timely support for critical issues.

- Ensure compliance with data governance, security, and quality standards.

Roles & Responsibilities

- Provide L2/L3 production support for data engineering platforms and pipelines.

- Monitor, troubleshoot, and resolve issues in AWS or Azure Data Factory (ADF), Databricks, and SQL-based workflows.

- Manage data migration, ingestion, and transformation processes across multiple environments.

- Collaborate with data engineers, analysts, and business stakeholders to ensure smooth delivery of data solutions.

- Implement incident management, root cause analysis, and preventive measures to minimize downtime.

- Optimize performance of ETL/ELT pipelines and ensure adherence to SLAs.

- Automate monitoring and alerting processes using scripting (Python/PowerShell).

- Maintain documentation for production support processes, runbooks, and the knowledge base.

- Participate in on-call rotations and provide timely support for critical issues.

- Ensure compliance with data governance, security, and quality standards.

📌 Senior System Engineer - Azure Databricks (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru

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