Support Engineer
Michelin India Private Limited
Work from Office
Full Time
Min. 2 yearsJob Description
Support Engineer
Support Engineer- - - - - - - - - - - -
Key Responsibilities needed
Data Platform Support & Operations
- Provide L2 support for data pipelines, ETL processes, and data platforms
- Monitor data workflows to ensure data availability, accuracy, and timeliness
- Manage and resolve production incidents, data failures, and performance issues
Monitoring & Reliability (SRE Practices)
- Implement and manage monitoring, alerting, and logging frameworks
- Define and track SLIs/SLOs for data pipelines and platforms
- Ensure proactive issue detection and high system reliability
Incident & Problem Management
- Perform root cause analysis (RCA) for data issues and system outages
- Work on incident resolution within defined SLAs
- Collaborate with engineering teams to implement permanent fixes and improvements
Data Quality & Governance
- Ensure data integrity and consistency across systems
- Implement validation checks and automated quality frameworks
- Support compliance with data governance and security standards
Collaboration & Stakeholder Management
- Act as a bridge between data engineering, BI, and business teams
- Communicate incident status, risks, and resolutions effectively
- Support stakeholders in resolving data-related issues and queries
Continuous Improvement & Automation
- Identify opportunities to automate repetitive support tasks
- Improve system efficiency through process optimization
- Contribute to initiatives such as Data Driven Engineering (DDE) and automation frameworks
Qualifications & Experience
- Bachelor’s/Master’s degree in computer science, Engineering, or related field
- Hands-on experience with:
- Data pipelines (ETL/ELT tools)
- SQL and data querying
- Cloud platforms (Azure preferred)
- Monitoring/logging tools
Technical Skills
- Data Platforms: Fabricks, Azure Data Factory, Databricks, Synapse, or equivalent
- Databases: SQL Server, Snowflake, or similar
- Monitoring: Azure Monitor, Log Analytics, Grafana, Splunk (or equivalent)
- Scripting: Python, SQL, or Shell scripting
- BI Tools: Power BI
- DataIKU (Optional)
Experience Level
Mid LevelJob role
Job requirements
About company
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