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Azure Cloud Data Engineer
3 weeks ago
We are seeking a seasoned Data Pipeline Architect to lead the design and implementation of end-to-end data solutions on Azure.
Key Responsibilities:- Develop scalable data pipelines using PySpark, SQL, and Azure technologies such as Data Factory (ADF), Databricks (ADB), and Data Lake (ADLS Gen2)
- Craft robust data validation, transformation, and warehousing processes
- Collaborate with stakeholders to deliver business insights and visualization solutions
- Work in Agile teams to drive data-driven outcomes
The ideal candidate will possess expert-level knowledge of Azure services and tools, as well as hands-on experience with Python for data processing and strong problem-solving skills. They should have 6-10 years of experience in data engineering, with a proven track record of delivering complex data solutions.
Requirements:- Mastery of data pipelines, data transformation, and data warehousing concepts
- Expertise in Azure services and tools, including Data Factory, Databricks, and Data Lake
- Strong problem-solving and debugging skills
- Excellent collaboration and communication skills
This is an exceptional opportunity to join our team and contribute to the development of innovative data solutions that drive business growth and innovation.
About the Role:
As a key member of our team, you will be responsible for designing and implementing end-to-end data solutions that meet our business needs. You will work closely with our data scientists and engineers to develop scalable data pipelines and ensure seamless data integration.
