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Senior Azure Data/ETL Developer - Boise, United States - Idaho State Job Bank
Description
Senior Azure Data/ETL Developer at Guidehouse in Boise, Idaho, United States Job Description Job Family : Software Development & Support (Digital)Travel Required :
Up to 10% Clearance Required : Ability to
Obtain Public Trust What You Will Do:
Are you passionate about data and its transformative power? Do you have a deep understanding of Azure's data extract transform load (ETL) capabilities and a vision for leveraging data to drive business insights? If so, we have an exciting opportunity for you Join our dynamic team as an Azure Data ETL Engineer and be at the forefront of our data-driven digital transformation journey, harnessing the power of Azure to extract, transform, and load data for meaningful analysis and decision-making.
+ Analyze business and technical requirements, as well as data warehouse data models, to understand the detailed data management requirements.
+ Administer, maintain, develop and recommend policies and procedures for ensuring the performance, availability, security and integrity of the company's databases and systems.
+ Identify, design and implement ETL solutions for extraction and integration of data to and from data warehouses and data marts for the purposes of reporting, decision support and analysis.
+ Architect solutions to help implement the physical data model for the development and/or production environments. + Perform regular deployments, scheduled maintenance and housekeeping.+ Work with business and analysts and solution architects to identify, design and implement custom user interface programs for data management and extraction purposes.
+ Manage, monitor and administer database and system performance.Including optimization and tuning of data loads, extractions and recommending appropriate procedure, query or package changes and optimizations to ensure and improve system performance and reliability.
+ Manage job and activity schedules to promote optimal performance, maximum availability and minimize data latency and data load durations.
+ Collaborate with cross-functional teams to understand data requirements and design scalable and efficient ETL processes using Azure services.+ Extract data from various sources, transform it into a usable format, and load it into Azure data storage solutions such as Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics.
+ Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies. + Implement data quality checks, data validation, and data cleansing techniques To view full details and how to apply, please login or create a Job Seeker account