Support Engineer

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 (Optional)