Sr Data Product Engineer

Title Sr Data Product EngineerAbout GlobalFoundriesGlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies With a global manufacturing footprint spanning three continents GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets For more information visit Introduction The Data Engineering and Analytics Group is responsible for integrating manufacturing and enterprise data out of a high variety of source systems used in the semiconductor engineering and production process The data solutions are used in GLOBALFOUNDRIES Fabs in Dresden in the US and in Singapore and also other wordwide locations The DEA team is responsible to design and build data products end-to-end meeting business team requirements It does so by improving data architecture by solutioning building and providing timely high-quality solutions that address analytical needs of engineers in a leading-edge semiconductor foundry Your Job Understand the business case and translate to a holistic solution involving AWS Cloud Services PySpark EMR Python Data Ingestion and Cloud DB Redshift PostgresPL SQL development for high volume data sets Proven experience with large complex database or data lake projects in environments producing high-volume dataDemonstrated problem solving skills familiarity with various root cause analysis methods experience in documenting identified problems and determined resolutions Communication with stakeholders and business partners across all worldwide locations Understanding and aligning business partners across locations doing requirements engineering and business case mapping Leading projects Working on complex cross-functional projects and acting as a subject matter expertDesigning data platforms Creating secure stable and scalable data collection storage access and analytics platformsDeveloping documentation Creating functional and technical documentation that supports best practicesExperience in preparing data warehouse design artifacts based on given requirements ETL framework design data modeling source-target-mapping Interaction with Data Governance teams aligning on data models lineage and relationships Data Analysis Engineering for data aggregation and curationInterfacing with architecture team cloud engineering teams and vendors on designing state of the art solutions Makes recommendations regarding enhancements and or improvementsProvides appropriate consulting interfacing and standards relating to database management and monitors transaction activity and utilization Performance issues analysis and tuning optimization opportunitiesData Warehouse design and development including logical and physical schema design Other Responsibilities Customer stakeholder focus Ability to build strong relationships with Application teams cross functional IT and global local IT teams as well as interfacing with vendors e g AWS Advising junior engineers Build Team Providing guidance to junior engineers and ETL Build team and BI Analytics teamsRequired Qualifications Bachelor or masters degree Preferably in information technology or electrical engineering but since job focus on business interaction also background in other fields is welcome Proven experience 10 year minimum with data engineering analytics design and optimization Very good knowledge of data architecture approaches and trends and high interest to apply and further develop that knowledge including understanding of OLAP OLTP ML genAI modelling statistics Problem solving experience analytics skills e g with L6S curriculum green black belt Good experience in AWS Services Big data PySpark EMR Python Cloud DB RedShiftProven experience with large complex data projects in environments producing high-volume data Proficiency in SQL and PL SQLExcellent conceptual abilities pared with very good technical documentation skills e g ability to understand and document complex data flows as part of business production processes Familiarity with SDLC concepts and processesTranslate business requirements into technical specifications This involves critical thinking problem-solving and the capacity to work with large datasets Additional Skill Experience using and developing on AWS services AWS certification AWS Solutions ArchitectProficiency in programming languages such as Python PySpark SQL Java C is highly recommended Understanding of machine learning and AI technologies is becoming increasingly important for data architectsExperience in semiconductor industry Knowledge of Semistructured datasetsExperience with reporting data solutions and business intelligence toolsExperience in collecting structuring and summarizing requirements in a data warehouse environment Knowledge of statistical data analysis and data mining Experience in test management test case definition and test processesPreferred Qualifications Bachelors or masters degree with Minimum 7 10 Years ExpAWS Cloud Services PySpark EMR Python Cloud DB Redshift Postgres and Data IngestionExperience in preparing Data Warehouse design ETL framework design data modeling source-target-mapping Problem Solving methodologiesGlobalFoundries is an equal opportunity employer cultivating a diverse and inclusive workforce We believe having a multicultural workplace enhances productivity efficiency and innovation whilst our employees feel truly respected valued and heard As an affirmative employer all qualified applicants are considered for employment regardless of age ethnicity marital status citizenship race religion political affiliation gender sexual orientation and medical and or physical abilities All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks medical screenings as applicable and subject to the respective local laws and 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