
Senior Data Engineering Specialist
3 days ago
About the Position:
We are seeking an experienced Senior Data Engineering Specialist to join our team and contribute to the development, optimization, and maintenance of data pipelines and architectures.
The ideal candidate will have in-depth knowledge of Microsoft data engineering ecosystem, particularly leveraging tools such as Azure Data Factory, Databricks, Alteryx, Synapse Analytics, and strong command of SQL, Python, and Apache Spark.
Key Responsibilities:- Design, develop, and optimize scalable data pipelines and workflows using Azure Data Factory, Synapse Pipelines, and Microsoft Fabric.
- Transform and migrate existing Alteryx workflows into scalable Azure Databricks pipelines, ensuring optimized performance and maintainability.
- Collaborate with data engineering and analytics teams to redesign Alteryx pipelines into Spark-based solutions on Azure Databricks, leveraging Delta Lake and Azure services for automation and efficiency.
- Build and maintain ETL/ELT processes for ingesting structured and unstructured data from various sources.
- Develop and manage data transformation logic using Databricks (PySpark/Spark SQL) and Python.
- Collaborate with data analysts, architects, and business stakeholders to understand requirements and deliver high-quality data solutions.
- Ensure data quality, integrity, and governance across the data lifecycle.
- Implement monitoring and alerting for data pipelines to ensure reliability and performance.
- Work with Azure Synapse Analytics to build data models and enable analytics and reporting.
- Utilize SQL for querying and managing large datasets efficiently.
- Participate in data architecture discussions and contribute to technical design decisions.
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