.Company DescriptionBosch was founded in Stuttgart in 1886 by Robert Bosch (1861-1942) and for more than 130 years has been distinguished by a unique corporate culture based on solid values that drive us to improve every day. Our products, present in a wide variety of fields, that contribute to improve the quality of life of millions of people.**Job Description**:Responsible for expanding and optimizing our data and data pipeline architecture for SMT related process, as well as optimizing data flow and collection for cross functional teams along with maintain and keep updated Bid data hardware and data structure in accordance with PAE-SMT projects scope. Design and keep data standardization, Red Lake and Data Warehouse (Juarez Central Data Base)- Create, integrate and maintain optimal data pipeline architecture for SMT processes.- Assemble large, complex data sets that meet functional / non-functional business and management requirements.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, propose re-designing of data and infrastructure for greater scalability, etc in according with PAE-SMT scope.- Build, design and review the data structure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technology.- Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.- Work with others stakeholders within AE wide including Management, Product, Data and Design teams to assist with data-related technical issues and support their data requirements needs.- Keep our data separated, safe and secure for only the right personnel scope.- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader- Design and keep Data Warehouse structure- Design and keep JuP1 Data Lake- Interact with Data Management structure to keep Data Governance.**Qualifications**:- Professional Degree- ** English (Good level)**:- High knowledge Programming languages C#, VB and SQL- Knowledge on Progamming languages (C, C++, Python, Webpage)- Knowledge on Data Science, Big data and Machine learning (optional)- Generate database reports, models, dashboards and data containers as required.- Generate efficient queries and procedures to provide database reports. Archiving/ consulting historical data administration.- Share troubleshooting and/or implementation Lesson learned with Business Division.- Keep Big Data platform system version updated.- Implements new technology systems solution to enable information availability