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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 Education: Bachelors Degree
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 Education: Bachelors Degree