Data Systems Architect
3 weeks ago
Data engineers play a vital role in building and testing scalable Big Data ecosystems for businesses. They design and develop methods to connect and collect data from various data sources, working closely with data scientists to ensure data quality and with product managers to understand business objectives.
Key Responsibilities
• Analyze and understand data sources and APIs
• Design and develop data extraction, data ingestion, and data quality rules
• Work with cloud and data architects to define robust architecture in cloud setup pipelines and workflows
• Collaborate with DevOps to build automated data pipelines
Required Skills
• Expertise in all phases of data engineering from initial data analysis through data extraction, cleansing, and transformation
• Experience in building diverse data engineering activities on Azure Data platform
• Strong working experience with Azure Data Factory Pipelines and Azure services: Azure Data Lake Gen 2, Data factory, Data Flows, and Synapse (Azure SQL DW)
• Must have experience on Azure Databricks and good hands-on skills working with Python, PySpark, and SparkSQL
• Experience with Power BI is a plus
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