Azure Data Platform Expert
2 days ago
We are Prime System Solutions, a forward-thinking company that prides itself on delivering top-notch data solutions to our clients. We are seeking a highly skilled Azure Data Platform Expert to join our team.
About Us:We are passionate about leveraging the power of data to drive business growth and success. Our team is comprised of experts in the field of data engineering, and we are committed to staying at the forefront of industry trends and best practices.
Job Description:The Azure Data Platform Expert will be responsible for designing and implementing scalable and reliable data pipelines using Azure Data Factory, Data Lake, and other Microsoft tools. The ideal candidate will have a strong understanding of data modeling, data architecture, and data warehousing concepts, as well as experience with cloud-based infrastructure management and infrastructure-as-code.
Main Responsibilities:- Design, develop, and maintain scalable and reliable ETL processes using Azure Data Factory, Data Lake, and other Microsoft tools.
· Implement and optimize data storage solutions using Azure SQL Data Warehouse, Azure Synapse Analytics, and/or Azure Data Lake Storage.
· Collaborate with other teams to integrate data from various sources, including on-premise systems, cloud services, and third-party APIs into Azure cloud infrastructure.
· Monitor and optimize the performance of data pipelines and databases to ensure minimal downtime, reduced latency, and efficient resource use.
· Ensure data governance standards, including data quality, security, and privacy, are adhered to by utilizing Azure security tools such as Azure Key Vault and Azure Active Directory.
- Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- 9+ years of experience as a Data Engineer or in a similar role, with a strong focus on Microsoft Azure technologies.
- Expertise in SQL for data manipulation, optimization, and query building.
- Knowledge of programming languages such as Python or .NET for data processing and automation tasks.
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