Senior Analyst, Data Engineer
Skills
Azure Data FactoryAzure Data LakeDevopsApache SparkBronzeBusiness IntelligenceConsumer Textiles
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3–5 years of professional experience as a Microsoft Data Engineer or similar role
- Hands-on experience with Azure Synapse Analytics, including SQL pools and/or Spark
- Experience building data pipelines with Azure Data Factory or equivalent tooling
- Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers
- Strong SQL skills and experience using Spark or PySpark
- Experience working with Azure Data Lake Storage Gen2
Day to day
- Design, build, and maintain scalable data pipelines across a cloud analytics platform using Microsoft technologies.
- Ingest and provision data from multiple enterprise systems into Bronze and Silver layers within a Medallion Architecture.
- Transform, standardize, cleanse, enrich, and validate data to support trusted analytics and operational insights.
- Collaborate with BI developers, analytics engineers, data scientists, and business stakeholders to improve platform performance and governance.
- Contribute to documentation, architectural patterns, and ongoing platform improvement initiatives.