Job Summary
The Junior Data Engineer is responsible for supporting production (“Lights On”) operations for data platforms and pipelines. This role focuses on incident investigation, break-fix support, data load execution, and operational maintenance to ensure the reliability and stability of data services.
Key Responsibilities
- Investigate and triage data-related production incidents and support root cause analysis
- Perform break-fix activities and ongoing maintenance to ensure system stability
- Execute and validate routine data loads and inputs
- Support operational tasks such as user access and system-related requests
- Assist in compliance, audit support, and security remediation activities
- Maintain documentation including runbooks and knowledge articles
- Provide clear handoffs across teams and support shifts
- Support special projects and operational requests within the production support scope
- Run queries in restricted environments and support offshore teams as required
- Provide flexible support across different shifts, including early mornings or late evenings
Required Qualifications
- 3+ years of experience in data engineering, data operations, or ETL support roles
- Strong SQL skills for writing and troubleshooting queries
- Basic proficiency in Python for scripting and automation
- Understanding of data pipelines, batch processing, and ETL concepts
- Experience handling production support tasks and incident management
- Strong analytical and problem-solving skills
- Ability to follow processes and work in a structured operational environment
Preferred Qualifications
- Exposure to modern data platforms such as Databricks or Snowflake
- Familiarity with orchestration tools and data pipeline management
- Experience with ticketing systems and ITSM processes
- Understanding of data governance and compliance concepts