Junior Data Engineer
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Job Description
Junior Data Engineer building Microsoft Fabric pipelines and data quality checks for Kreate’s plastic manufacturing operations. Supporting dashboards, planning, and daily reporting across ERP, HR, and retail data.
Responsibilities:
- Build and maintain data ingestion pipelines and notebooks in Microsoft Fabric, including Data Factory pipelines, Python/Spark notebooks, and Delta tables
- Monitor daily scheduled pipelines and container jobs, triage failures, and ensure partially failed jobs are reported accurately
- Develop and maintain data quality checks for freshness, row counts, duplicate records, and reconciliation to source systems, with appropriate alerts
- Migrate ad-hoc and desktop-scheduled scripts to managed, version-controlled, monitored infrastructure
- Model source tables into conformed Silver dimensions and Gold facts with documented data grain and business definitions
- Maintain runbooks and the data catalogue
- Troubleshoot pipeline issues with senior engineering team members, identify root causes, and build reliable solutions
- Collaborate with data, analytics, and business teams to ensure data is accurate, accessible, and fit for reporting and analysis
Requirements:
- 1–3 years of experience in data engineering, analytics engineering, software development, or a related field; internships and substantial academic or personal projects may count toward experience
- Solid SQL skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or “fan out” rows
- Working knowledge of Python, including pandas or PySpark
- Everyday experience using Git and version control
- Strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed
- Strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable
- Strong problem-solving skills and interest in learning data engineering practices, tools, and technologies
- Experience with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse
- Familiarity with Delta Lake and Parquet
- Basic knowledge of Azure services such as App Service, Container Apps, Key Vault, and Entra ID
- Experience working with ERP or manufacturing data, including Oracle, IQMS/DELMIAworks, SAP, or Epicor
- Experience with Power BI
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