Azure Data Engineer
Summary
Azure Data Engineer designing, building, and optimizing data pipelines and architectures on Azure using Python, SQL/NoSQL, Scala, Spark-SQL, and Azure services such as ADLS, Databricks, Data Factory, and Cosmos DB.
Overview
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Tech stack
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Tech stack
Tech stack: Python, SQL/NoSQL, Scala, Spark-SQL, Azure services (ADLS, Databricks, Data Factory, Cosmos DB, Functions, etc.)
Responsibilities- Design, build & optimise data pipelines and architectures
- Develop and maintain Azure-based solutions (ADLS, Databricks, Data Factory, Cosmos DB, etc.)
- Cleanse, transform, and optimise data for business and technical use
- Automate processes, write production-ready code, and support data pipelines
- Extensive experience as an Azure Data Engineer
- Strong background in big data pipelines, architectures & datasets
- Ability xgiwjmb to troubleshoot, test, and deliver under deadlines
- Strong communication and teamwork skills
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Information Technology