Job Url: https://www.remoterocketship.com/company/urus-org/jobs/senior-data-engineer-united-states Job Description: URUS Group Website LinkedIn All Job Openings URUS Group is a holding company formed in 2018 with a focus on the global agriculture industry, specifically serving dairy and beef producers. It encompasses several companies, including AgSource, Alta Genetics, and GENEX, providing genetic and farm management solutions aimed at improving herd quality and productivity. URUS is committed to sustainability and the development of innovative technologies that enhance the profitability of commercial livestock operations worldwide. 1001 - 5000 employees Founded 2018 🌾 Agriculture 🀝 B2B 🧬 Biotechnology Senior Data Engineer 2 days ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer πŸ¦… H1B Visa Sponsor Azure Cloud ETL Python Spark SQL SSIS Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ As a Sr. Data Engineer, you will be responsible for the design, development, and maintenance of data integration and reporting solutions. β€’ The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. β€’ This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. β€’ Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks. β€’ Troubleshoot and resolve Databricks pipeline errors and performance issues. β€’ Maintain legacy SSIS packages for ETL processes. β€’ Troubleshoot and resolve SSIS package errors and performance issues. β€’ Optimize data flow performance and minimize data latency. β€’ Implement data quality checks and validations within ETL processes. β€’ Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL. β€’ Migrate legacy SSIS packages to Databricks pipelines. β€’ Optimize Databricks jobs for performance and cost-effectiveness. β€’ Integrate Databricks with other data sources and systems. β€’ Participate in the design and implementation of data lake architectures. β€’ Participate in the design and implementation of data warehousing solutions. β€’ Support data quality initiatives and implement data cleansing procedures. β€’ Collaborate with business users to understand data requirements for department driven reporting needs. β€’ Maintain existing library of complex SSRS reports, dashboards, and visualizations. β€’ Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies. β€’ Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams. β€’ Collaborate effectively with business users, data analysts, and other IT teams. β€’ Communicate technical information clearly and concisely, both verbally and in writing. β€’ Document all development work and procedures thoroughly. β€’ Keep abreast of the latest advancements in data integration, reporting, and data engineering technologies. β€’ Continuously improve skills and knowledge through training and self-learning. 🎯 Requirements β€’ Bachelor's degree in computer science, Information Systems, or a related field. β€’ 7+ years of experience in data integration and reporting. β€’ Extensive experience with Databricks, including Python, Spark, and Delta Lake. β€’ Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions. β€’ Experience with SSIS (SQL Server Integration Services) development and maintenance. β€’ Experience with SSRS (SQL Server Reporting Services) report design and development. β€’ Experience with data warehousing concepts and best practices. β€’ Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable. β€’ Strong analytical and problem-solving skills. β€’ Excellent communication and interpersonal skills. β€’ Ability to work independently and as part of a team. β€’ Experience with Agile methodologies.