Job details |
||||||||||||||||||||||||||||||||
|
Data Relicapability Engineer:Job description:
Data Relicapability Engineer?The Data Relicapability Engineer is an integral part of the Information Technology Services department (ITS), reporting to the Director of Business Intelligence (BI). The function will be involved in efforts to ensure the accuracy, integrity, and security of data within the BI system that supports data processing and analysis needs.?Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the function. The function involves designing, building, and maintaining test pipelines, data transformation or systems performance logs, and metadata or data catalogs. The Data Relicapability Engineer is responsible for ensuring accurate and complete data collection, per business requirements, KPIs, and SLAs or SLOs. Gaining a thorough knowledge of the data maintained in the enterprise data warehouse is mandatory. Advocating for data quality across teams is essential. ?This is a full-time function with at least two required days at the Excelsior home office in Albany, NY. The remaining days can be worked in the house. The Data Relicapability Engineer will play a significant function in shaping the data operations strategy and infrastructure of the University. tasks and Responsibilities: » Work with data analysts, data governance workgroups, and other stakeholders to understand their needs and translate them into technical requirements. » Maintain a strong knowledge of business workflows, processes, and events, and relate this knowledge to how these are captured in transactional systems. » Develop and implement strategies to ensure data is clean and reliable. » Design and execute tests to validate data transformations, migrations, and storage within the data warehouse environment. » Identify any errors or inconsistencies in the enterprise data warehouse. » Write technical documentation and term definitions in the Data Governance Platform. » Implement data governance and ensure data integrity across all BI initiatives. Qualifications required to execute this job prosperously, an individual must be able to execute each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or capability required. Reasonable accommodations may be made to enable individuals with disabilities to execute the essential functions. » Bachelor's degree in computer science, information technology, systems engineering, database management, or related field » 8 years of practice writing and troubleshooting complex SQL queries (PL/SQL and TSQL) and Python or R data frame functions. » Strong knowledge of relational database systems and data warehousing concepts. » Strong analytical, research, and critical thinking. » practice in creating data quality requirements analysis documentation. Strongly Preferred Qualifications required » practice with reporting tools (Power BI, QlikView, or QlikSense). » capability to work with a diverse group of stakeholders in a collaborative manner and communicate effectively. » Excellent organizational expertise The hiring income range for this job offer is $100,000.00 - $110,000.00. The hiring income range above represents the University's good faith estimate at the time of posting. Skills:
|
||||||||||||||||||||||||||||||||
|