Data Engineer

We are looking for a skilled Data Engineer to design, implement, and manage scalable data solutions while leveraging Azure, Power BI, and big data technologies. Your work will support seamless data pipelines, actionable insights, and advanced analytics in a dynamic environment.

🔑 Key Responsibilities:
Build and maintain optimal data pipeline architectures.
Design and implement Azure Data Factory (ADF) pipelines for data ingestion, transformation, and loading.
Develop Power BI data models to deliver actionable insights.
Extract, transform, and load data from diverse sources using SQL, AWS, and Azure technologies.
Optimize data processes for scalability and efficiency.
Create analytics tools that provide insights into operational efficiency and performance metrics.
Ensure secure, compliant data management across multiple data centers and AWS regions.
Collaborate with cross-functional teams to support their data needs.

🌟 What You Bring:
Proficiency in Azure Data Factory (ADF) and experience with Power BI.
Advanced SQL knowledge and relational database expertise.
Hands-on experience building and optimizing big data pipelines and architectures.
Ability to design scalable cloud-based solutions on Azure, AWS, or GCP.
Familiarity with stream processing, message queuing, and highly scalable data systems.
Strong analytical skills to work with structured and unstructured data.
Knowledge of global supply chain data interfaces (EDI, ERP, WMS).

✨ Nice to Have:
Advanced working SQL knowledge with experience in managing relational and NoSQL databases.
Expertise in root cause analysis and optimizing disconnected datasets.
Experience in data transformation, dependency management, and metadata creation.
Familiarity with message queuing and stream processing tools.
Project management skills and experience in collaborative, cross-functional environments.

Ready to join us? Email your profile to [email protected].