Job Description
Note: The job is a remote job and is open to candidates in USA. HYR Global Source Inc is seeking a skilled Data Engineer to join their team on a 12+ months remote opportunity. The ideal candidate will have strong hands-on experience building scalable data pipelines and working with modern cloud-based data platforms, focusing on data processing, automation, and performance optimization across large-scale data systems. Responsibilities β’ Design, develop, and maintain scalable ETL/data pipelines in cloud environments β’ Build and manage both batch and real-time (streaming) data processing workflows β’ Develop and optimize data transformations using Python, SQL, and Apache Spark β’ Implement robust data solutions using Databricks and Azure Data Factory β’ Ensure data pipeline reliability, scalability, and performance through monitoring and optimization β’ Collaborate with cross-functional teams, including analysts, BI developers, and DevOps engineers β’ Support reporting and analytics initiatives by enabling clean, well-structured datasets for BI tools β’ Apply best practices in data quality, testing, version control, and CI/CD automation Skills β’ Programming: Python, SQL β’ Data Processing: Apache Spark, Databricks, Azure Data Factory β’ Streaming Technologies: Kafka, Google Pub/Sub (or similar messaging systems) β’ DevOps & Automation: Git, Jenkins or GitHub Actions, Azure DevOps, Terraform, Docker β’ Visualization & Reporting: Power BI, Tableau, or similar BI tools β’ Experience with data lake and/or data warehouse architectures (e.g., Lakehouse concepts) β’ Knowledge of data governance frameworks and data quality tools β’ Familiarity with CI/CD pipelines and automated data testing best practices Company Overview β’ Established in 2013. At HYR Global Source Inc., we are your trusted technology partner, driving innovation through cutting-edge solutions. It was founded in 2013, and is headquartered in Overland Park, Kansas, USA, with a workforce of 51-200 employees. Its website is Apply tot his job
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