Support Engineer
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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 (O
📌 Support Engineer (Pune)
🏢 Michelin
📍 Pune