Data Engineer with Azure @ Square One Resources

We are expanding our Supply Chain Analytics team and looking for a skilled Data Engineer to develop and maintain data ingestion, processing, and delivery pipelines using Microsoft Azure services. The role focuses on supporting data-driven decision-making through efficient and reliable data infrastructure.

Candidate Profile :

• Minimum 2–3 years of hands-on experience in data engineering roles
• Strong proficiency in Python, SQL, and Azure data services (Azure Data Factory, Blob Storage, Key Vault, Logic Apps, Azure SQL Database, Synapse)
• Experience with data workflow orchestration, particularly using Azure Data Factory
• Solid understanding of version control systems and CI / CD pipelines, preferably Azure DevOps or GitHub
• Familiarity with data governance concepts such as metadata management, data lineage, master data, and compliance
• Business-level English communication skills (B2 or higher)

Additional Assets :

We are expanding our Supply Chain Analytics team and looking for a skilled Data Engineer to develop and maintain data ingestion, processing, and delivery pipelines using Microsoft Azure services. The role focuses on supporting data-driven decision-making through efficient and reliable data infrastructure.

Design, build, and optimize ELT / ETL pipelines to support statistical modeling and business intelligence , Monitor and ensure data quality and integrity , Configure and maintain data storage systems such as data lakes and SQL databases , Manage production connections across the data infrastructure components , Write secure, scalable, and maintainable code that translates business needs into technical solutions , Promote engineering best practices, including automation, CI / CD, and code maintainability , Collaborate closely with BI analysts, data scientists, machine learning engineers, and core IT teams ] Requirements : Microsoft Azure, Data Lake, Python, SQL, Azure Data, Azure Data Factory, Blob Storage, Azure SQL Database, Azure DevOps, Snowflake, Scala, Databricks, Power BI, PySpark Additionally : Remote work.