Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 7000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role? What your typical day would look like?
We are hiring a System Engineer or Senior System Engineer with 3+ years of experience in Data Engineering Support. The role involves Data Engineering, monitoring, and optimization with strong skills in Python, SQL, and cloud (AWS/Azure/GCP)
- Experience: 3–8 years overall, with at least 3+ years in a lead role handling production support.
- Education: A Bachelor’s 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
- Strong 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.
- Provide L2/L3 production support for data engineering platforms and pipelines.
- 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.
