
Senior Data Engineering Professional
2 weeks ago
Job Role: Azure Data Engineer
About the Opportunity:
- Develop and maintain large-scale data processing systems using Azure Databricks.
- Collaborate with cross-functional teams to integrate data engineering solutions into business applications.
- Design and implement ETL processes using Python, PySpark, and Apache Spark.
- Analyze complex data sets to identify trends and insights that inform strategic decisions.
Key Requirements:
- Minimum 5 years of experience in data engineering, with a focus on Azure Databricks and PySpark.
- Hands-on experience with Delta Lake, Azure SQL, and cloud-based infrastructure.
- Strong understanding of data architecture and design principles, as well as scalability and performance optimization.
Why This Role Matters:
This position plays a critical role in driving business growth through data-driven insights. If you are passionate about working with big data and want to make a meaningful impact, we encourage you to apply.
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