Support Engineer
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Key Responsibilities needed
Data Platform Support & Operations
L2 support
for data pipelines, ETL processes, and data platforms
- Monitor data workflows to ensure
data availability, accuracy, and timeliness
production incidents, data failures, and performance issues
Monitoring & Reliability (SRE Practices)
monitoring, alerting, and logging frameworks
SLIs/SLOs for data pipelines and platforms
- Ensure proactive issue detection and
high system reliability
Incident & Problem Management
root cause analysis (RCA)
for data issues and system outages
incident resolution within defined SLAs
- Collaborate with engineering teams to implement
permanent fixes and improvements
Data Quality & Governance
data integrity and consistency
across systems
- Implement validation checks and automated quality frameworks
- Support compliance with
data governance and security standards
Collaboration & Stakeholder Management
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
Data pipelines (ETL/ELT tools)
SQL and data querying
Cloud platforms (Azure preferred)
Technical Skills
Fabricks,
Azure Data Factory, Databricks, Synapse, or equivalent
SQL Server, Snowflake, or similar
Azure Monitor, Log Analytics, Grafana, Splunk (or equivalent)
Python, SQL, or Shell scripting
- BI Tools: Power BI
- DataIKU (Optional)
