Data Engineer
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Key skills for this role
About the Role
شركة الخيال اللامحدودة للتجارة is seeking a Data Engineer to build robust data infrastructure for retail operations. The role involves breaking down data silos, building data pipelines, and ensuring clean, reliable data for ML Engineers and Analysts.
Key Skills for This Role
Responsibilities
- Build the robust data infrastructure that powers continued growth
- Break down data silos within the enterprise ecosystem
- Ensure Machine Learning Engineers and Data Analysts have access to clean, reliable, and high velocity data
Requirements
- 3 5 years of proven experience as a Data Engineer, Data Architect, or similar role building production grade data infrastructure
- Advanced proficiency in SQL and Python data manipulation and pipeline development
- Deep expertise in the Microsoft data ecosystem: Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server
- Strong expertise in building and orchestrating data pipelines using Apache Airflow, dbt, or similar technologies
- Experience with big data processing frameworks (e.g., Apache Spark, Kafka)
- Previous experience working with retail, e commerce, or supply chain data
- Previous experience extracting and transforming data from Microsoft Dynamics into an analytics database
- Familiarity with Machine Learning lifecycles and MLOps tools
- Knowledge of regional data privacy frameworks (e.g., PDPL)
Full Job Posting
About the Role
- AtQ, we are committed to delivering exceptional retail experiences and innovative solutions to our customers.
- Data is the foundation of everything we do, empowering us to make smarter decisions and serve our customers better.
- We are looking for an exceptional Data Engineer to join our team and help build the robust data infrastructure that powers our continued growth.
- In this role, you will be the architect of our data ecosystem.
- You will break down data silos within our enterprise ecosystem, ensuring that our Machine Learning Engineers and Data Analysts have access to clean, reliable, and high velocity data.
Skills
- 3 5 years of proven experience as a Data Engineer, Data Architect, or similar role building production grade data infrastructure.
- Advanced proficiency in SQL and Python data manipulation and pipeline development.
- Deep expertise in the Microsoft data ecosystem, specifically Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server.
- Strong expertise in building and orchestrating data pipelines using tools like Apache Airflow, dbt, or similar technologies.
- Experience with big data processing frameworks (e.g., Apache Spark, Kafka).
- A problem solving mindset with a relentless focus on performance optimization and system reliability (Uptime & Low Latency).
- Previous experience working with retail, e commerce, or supply chain data.
- Previous experience extracting and transforming data from Microsoft Dynamics (e.g., using Azure Synapse Link or custom API connectors) into an analytics database.
- Familiarity with Machine Learning lifecycles and MLOps tools.
- Knowledge of regional data privacy frameworks (e.g., PDPL).
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