Understanding of Data Engineering/processing, Business Intelligence and Advanced analytics Knowledge in databases and Data warehouse modeling Knowledge in Cloud based data engineering and Machine Learning Models Knowledge in building APIs for application integration Experience with various frameworks and processes, such as Agile/Scrum Experience in SAP ERP Modules, like MM, CO Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, to develop data imputation algorithms, and optimize performance of big data and machine learning systems Build and optimize data models to support AI/ML use cases in business pillar Integrate AI solutions into Business solutions and dashboards Ensure high data quality, lineage, and governance across business datasets Data Engineering and Processing with Architectures Strong background on SQL and Data Warehousing Develop ETL/ELT processing using Python, Snowflake SQL Scripts Develop Data Models, APIs, and UI Knowledge in business domains, Procurement, Capital, Cost Familiar with cloud platforms such as GCP, AWS, Azure and data services (BigQuery, Snowflake) Knowledge of DevOps practices and CI/CD pipelines Data Analysis and Validation skills Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in Data Engineering, with at least 1 years in business area (perfer) Work in a dynamic, fast-paced, work environment Work in multi-functional groups, with diverse interests and requirements, to a common objective
