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Deprecated: Return type of Ai1wm_Recursive_Newline_Filter::accept() should either be compatible with FilterIterator::accept(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /var/www/jobs/wp-content/plugins/All-In-One-WP-Migration-Pro-master/lib/vendor/servmask/filter/class-ai1wm-recursive-newline-filter.php on line 28

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Data Engineer Archives - Jobs @ ITroSys https://3.109.19.224/job-category/data-engineer/ Empowering Minds-Enriching Lives Mon, 13 Oct 2025 10:54:39 +0000 en-US hourly 1 https://wordpress.org/?v=6.9 https://jobs.devitrosys.com/wp-content/uploads/2025/09/cropped-favicon-iTroSys-32x32.png Data Engineer Archives - Jobs @ ITroSys https://3.109.19.224/job-category/data-engineer/ 32 32 EY – GDS Consulting – AI and DATA – Microsoft Fabric – Senior https://jobs.devitrosys.com/job/ey-itro-full-time-ey-gds-consulting-ai-and-data-microsoft-fabric-senior/ https://jobs.devitrosys.com/job/ey-itro-full-time-ey-gds-consulting-ai-and-data-microsoft-fabric-senior/#respond Mon, 13 Oct 2025 10:53:36 +0000 https://jobs.devitrosys.com/?post_type=job_listing&p=15785 We are looking for a Data Engineer with 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. The ideal candidate will have a strong background in building and managing data solutions within the Microsoft Fabric platform and will be proficient in various programming languages. Your key […]

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]]> We are looking for a Data Engineer with 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. The ideal candidate will have a strong background in building and managing data solutions within the Microsoft Fabric platform and will be proficient in various programming languages.

Your key responsibilities

Design, develop, and manage data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Spark, Notebooks, and KQL Database.
Implement ETL/ELT processes to ensure efficient data integration and transformation.
Create and maintain data models to support business intelligence and analytics initiatives.
Utilize Azure data storage services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage) for effective data management.
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
Write and optimize code in SQL, Python, PySpark, and Scala for data processing and analysis.
Implement DevOps practices and CI/CD pipelines for seamless data deployment and version control.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Communicate effectively with diverse teams to foster collaboration and knowledge sharing

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