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Michelin Linkedin · Posted 1mo ago

Support Engineer

India

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Indexed description

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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)
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