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)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.