in Supply Chain Management (SCM) to lead the extraction of data from our existing Oracle system for handover data requirements of the new SAP ERP system, extracting relevant SCM data from the Oracle database, and for extraction . Data Extraction and Transformation: Develop SQL queries and scripts to extract SCM data views, and custom objects. Transform and cleanse extracted data as needed to align with the data format and ensure accuracy, completeness, and consistency of extracted SCM data. Resolve data discrepancies, anomalies
encompasses a variety of tasks including requirement extraction, test scenario specification, scheduling, execution reporting, and customer liaison. Responsibilities Extract requirements from applicable specifications. Group Reporting and Corrective Actions System (FRACAS). Extract reports from the FRACAS system for reporting to
i>Advanced Excel
advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data.
/>Expertise in SQL and relational databases for data extraction and manipulation.
Excellent problem-solving
advanced analytics and machine learning techniques to extract actionable insights from vast amounts of data.
/>Expertise in SQL and relational databases for data extraction and manipulation.
Excellent problem-solving
a strong background in .Net development, data extraction, problem-solving skills, and a keen eye for detail incident reports System testing SQL queries and data extracts Analysis of log files Specification writing Responsible
candidate is responsible from Warehouse design to ETL (Extract Transform Load) development till MIS (Management BI applications. Develop Extract, Transform, Load (ETL) processes to extract data from various sources Experience with Warehouse modeling, analytics and ETL (Extract, Transform, Loading) tools. Expertise on time series
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide other technologies. Develop and implement data extraction procedures from other systems, such as callcentres with 3 years of experience in writing queries, extracting data, data scrubbing and large volumes of records
years post qualification experience A Degree in Metallurgy or related Qualification. Below age of 44. Exceptional
years post qualification experience A Degree in Metallurgy or related Qualification. Below age of 44. Exceptional