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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)

📌 Support Engineer (Pune)
🏢 Michelin
📍 Pune