We are seeking a motivated and experienced Data Engineer with 2-4 years of hands-on experience to join our team. The ideal candidate will have expertise in Azure Data Factory (ADF), SQL, Logic Apps, and a solid understanding of IT/OT systems. Knowledge of KQL and Overall Equipment Effectiveness (OEE) concepts will be a strong plus. This role involves working with large datasets, building data pipelines, and contributing to the integration of IT and OT environments to enhance operational efficiency.
Key Responsibilities:
- Design, build, and maintain scalable ETL pipelines using Azure Data Factory (ADF).
- Develop and optimize SQL queries, stored procedures, and data models to support data integration and analytics requirements.
- Implement and maintain workflows using Logic Apps for process automation and data orchestration.
- Collaborate with IT and OT teams to ensure seamless integration of data across industrial and enterprise systems.
- Support OEE calculation frameworks by integrating machine and production data.
- Analyze and process large datasets to enable actionable insights for business and operational decision-making.
- Ensure data quality, reliability, and consistency in all projects.
- Troubleshoot and resolve issues related to data pipelines and integrations.
- Work closely with stakeholders to gather requirements and translate them into technical solutions.
Key Skills and Qualifications:
• Experience: 2-4 years of experience in data engineering or related roles.
• Technical Expertise:
o Proficient in Azure Data Factory (ADF) and building data pipelines.
o Strong SQL skills for querying, performance optimization, and database management.
o Experience with Logic Apps for workflow automation.
• Knowledge Areas:
o Understanding of IT and OT systems and their integration.
o Familiarity with Overall Equipment Effectiveness (OEE) concepts and calculation methods.
o Knowledge of KQL (Kusto Query Language) is a plus.
• General Skills:
o Strong problem-solving and analytical skills.
o Ability to work independently and collaboratively in a team environment.
o Effective communication skills to interact with technical and non-technical stakeholders.