Job Description

Maxeon Solar Technologies is a global leader in solar innovation. Built from 35 years of boundary-pushing solar innovation, Maxeon designs, manufactures, and sells industry-leading SunPower branded solar products. Maxeon is Powering Positive Change every day with a brilliant, passionate and driven team of more than 5,000 people globally.
We push the boundaries , taking solar technology higher, faster, and farther than before.
We hold ourselves to a higher standard , striving for the highest integrity, safety, and quality.
We thrive together as a global team, embracing our diverse backgrounds to make a positive impact on the world.
Join us in POWERING POSITIVE CHANGE(TM)
SUMMARY OF THE ROLE:
Maxeon is seeking a Senior Data Engineer with manufacturing domain functional expertise preferably in semiconductor industry to lead a team of data engineers to design and build databases, Big Data Platforms, Datawarehouse, ELT, ETL pipelines for the Industry 4.0 Data Program. The position will be based out of the Philippines at the Cell Manufacturing Unit (FAB4). The Senior Data Engineer will report to the Project Lead for industry 4.0 data program. This person will closely work with Manager, Data Analytics, implementation partner and other key project stakeholders. The candidate for this role will need to have a meticulous eye for data and appreciates the process of manipulating, storing and understanding data. This person will work with a team of experienced data experts, analyst and business resources to build databases, data warehouses and ETL/ELT pipelines as part of Industry 4.0 data program.
Work with Industry 4.0 data program team which includes project implementation vendor resources, data experts from manufacturing engineering team, data analysts & business stakeholders.
Lead the end to end set up of data platform which is scalable and future proof for Maxeon based on the functional/non-functional & technical requirements.
Integrate data platform with Maxeon Applications and 3rd party system as required from both On-Premise and Multi Cloud.
Lead a team of data engineers to expand and optimize our data and data pipeline architecture, as well as optimize data flow systems in a secured and scalable manner.
Assemble large, complex data sets that meet functional / non-functional business requirements, transforming data into formats that are easy to consume and analyze.
Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactiveness to build generic solutions to improve overall efficiency.
Data Profiling & Cleansing of data by applying data quality checks before ingesting the data.
Design & Build database, Enterprise Datawarehouse design and data modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumers.
Build data foundation to provide an enterprise view of data across the organization which can be seamlessly accessed by Business users through Self-Service reporting.
Build a centralized data repository (Sand Box environment) with a robust data foundation to enable data discovery, data mining for advanced analytics use cases.
Work with stakeholders including the Product owner, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with data and analytics experts to strive for greater functionality in our data systems.
Lead/work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
Knowledge and Technical Skills: Bachelors degree in Science or Information Technology Certified in Data & Analytics Cloud based solution Proven track record in designing and implementing large-scale data solutions, performing architectural assessments, optimizing data models, establish and enforce engineering guidelines and standards on Cloud based environments 6+ years of experience in technical architecture, design & build of Data & Analytics projects in a multinational organization on On-Premise & Cloud based solutions.
In-depth experience in working with a data warehouse and knowledgeable on data warehouse modelling techniques
Manufacturing domain knowledge preferably from Manufacturing industry (Semi-Conductor)
Highly knowledgeable in ETL/ELT processes, both design and implementation using various leading tools like for example Informatica, Ab-Initio, Talend etc
Experienced in implementing data pipelines for stream and batch ingestion/processing using Open-Source tools (Kafka, Apache Spark) as well as Cloud Native solutions.
Good experience in building data pipelines that ingests various types of data sources (structured, semi-structured and unstructured) into a database or data lake and populating a structured warehouse or data mart
Experienced in building data lake (distributed storage, Object store), databases & Datawarehouse in cloud (AWS, Azure, GCP), moving data applications to the cloud, and developing cloud native data applications.
Experienced in implementing SQL, NoSQL databases & MPP databases
Experience in Data archiving & Life Cycle Management.
Data Warehouse design, BI reporting and Dashboard development. Prior experience in leading a team of technical developers will be a plus Advanced SQL and Python skills are mandatory Prior data modeling (dimensional, relational) and data engineering experience is mandatory Prior experience in leading a team of technical developers will be mandatory
Complexity:
Works on complex assignments where effective data analysis requires evaluation of multiple and diverse sources/factors.
Exercises excellent judgment in selecting methods, techniques and evaluation criteria.
Networks with key contacts within and outside own area of expertise.
Teamwork, Collaboration and Influence:
Collaborates and has influence across the company.
When addressing work challenges, finds common ground and resolution among a diversity of views.
Actively provides feedback to enhance work group performance.
Provides guidance and mentoring to less experienced staff.
Initiative:
Seeks to understand current service delivery challenges, suggesting new and improved methods.
Assures that functional output is developed and delivered to meet customer and business requirements.
Creative Thinking and Innovation:
Brings creative thinking and ideas to improve work processes, end products, and team efficiency.
Impact and Results Focus:
Generates innovative solutions to process, product, or methodological inefficiencies.
Provides consistently high quality support and technical work on multiple projects.
Minimum Education and Experience: Bachelor's degree in Science or Information Technology Certified in Data & Analytics Cloud-based solution Proven track record in designing and implementing large-scale data solutions, performing architectural assessments, optimizing data models, establishing and enforcing engineering guidelines and standards on Cloud-based environments 6+ years of experience in technical architecture, design & build of Data & Analytics projects in a multinational organization on On-Premise & Cloud-based solutions.
Equal Employment Opportunity
The Company is an equal employment opportunity employer and makes employment decisions, including but not limited to, hiring, firing, promotion, demotion, training, and/or compensation, on the basis of merit. Employment decisions are based on an individual's qualifications as they relate to the job under consideration. The Company's policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by national, federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.