
Senior Azure Data Engineer Transformation Lead
1 week ago
Job Overview:
We are seeking a highly skilled Senior Azure Data Engineer to lead our data transformation efforts. As a key member of our team, you will be responsible for designing, building, and maintaining large-scale data pipelines on Microsoft Azure.
Key Responsibilities:
- Data Architecture: Design and implement data architectures using Azure Data Factory, Databricks, and Synapse Analytics to optimize data flow and reduce latency.
- ETL Development: Develop and maintain ETL processes using Python, PySpark, and SQL to ensure seamless data integration and processing.
- Collaboration: Work closely with cross-functional teams to integrate data into business applications and drive business insights.
- Machine Learning: Collaborate with data scientists to develop and deploy machine learning models that drive business growth.
Requirements:
- Experience: 5+ years of experience in Azure data engineering with a strong track record of delivering high-quality data solutions.
- Expertise: Expertise in Azure Data Factory, Databricks, Synapse Analytics, and PySpark, as well as a strong understanding of data modeling, integration, and manipulation.
- DevOps Tools: Experience with DevOps tools such as Azure Pipelines, SonarQube, and PyTest to ensure efficient and reliable data operations.
What We Offer:
- Opportunity to work with cutting-edge technologies
- Collaborative and dynamic work environment
- Professional growth and development opportunities
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