Requirements:
5+ years of experience, preferably at a global company. Strong understanding of ERP systems in a manufacturing environment, with experience on large-scale ERP system. In-depth knowledge and experience of In-depth knowledge of SAP architecture, landscape design, and system administration best practices preferred. Proven experience in salesforce or similar CRM. Experience with defining and implementing software interfaces. Experience in SQL and BI Tools (e.g., PowerBI, Tableau, Sigma, Looker). Familiarity with data warehousing concepts and ETL processes. Demonstrated ability to learn and create a deep and clear understanding of the business processes. Strong troubleshooting and problem-solving skills with a proven track record of hands-on capabilities, in complex technical environments. Strong teamwork and communication skills. Experience background in marketing, sales and global business processes A strong advantage. Experience with SOC2 or ISO2700 audit An advantage. Education: Bachelors degree in information technology, Computer Science, or a related field. Language skills Fluent English - writing and verbal.

Requirements:
*  Design, build, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources.
*  Develop and optimize ETL processes to extract data from multiple sources, transform it according to business requirements, and load it into target databases/data warehouses cleanse, thus validating and enriching raw data for analytics and reporting purposes.
* Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications for ETL development.
*  Optimize and tune SSIS packages for performance, scalability, and reliability.
* Troubleshoot and resolve issues related to data integration, ETL processes, and data quality.
* Develop and maintain documentation for ETL processes, data mappings, and data lineage.
* Implement data validation and quality checks to ensure accuracy and completeness of data
* Work with database administrators to ensure proper configuration and optimization of database servers and storage for ETL processes.
* Keep abreast of industry trends and best practices in ETL development and data integration.
*  Develop and maintain monitoring and alerting systems to proactively identify and address data pipeline issues and bottlenecks.
*  Enable the core processes of data visualization tools (e.g., Tableau, Power BI).
*  Performing automation and scripting tasks. ***With the migration to Clouds solutions, the data engineer is to manage the process and to design and maintain data warehouses, data lakes, and other storage solutions to proliferate and refine structured and unstructured data efficiently.