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\xe2\x84\xa2

SUMMARY OF THE ROLE:
Maxeon is seeking a Data Engineer to design and build databases, Big Data Platforms, Datawarehouse, ELT, and ETL pipelines for the Industry 4.0 data program. The position will be based out of Malaysia at the Cell Manufacturing Unit (FAB4). The Data Engineer will report to the Senior for the industry 4.0 data program. This person will closely work with Project Lead, Data Analytics Lead, 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 closely work with a team of experienced data experts, analysts, and business resources to build databases, data warehouses, and ETL/ELT pipelines as part of the 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.
Support 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.
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.
Ingest, transform, process and store data efficiently into a database, data lake or Datawarehouse platform hosted on premise or cloud based environment.
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 usecases.
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.
Able to communicate effectively, both written and verbal, with technical and non-technical multi-functional team

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
4+ 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
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
Strong understanding of development processes and agile methodologies is necessary

Complexity:
Works on problems and projects of diverse complexity.
Engages in analyses requiring evaluation of identifiable factors.
Exercises independent judgment within generally defined boundaries.
Networks with senior individuals, internally and externally, within own area of expertise. \xe2\x80\x8b\xe2\x80\x8b\xe2\x80\x8b\xe2\x80\x8b\xe2\x80\x8b\xe2\x80\x8b\xe2\x80\x8b
Safety Compliance
Your safety is our number one priority at Maxeon. All our employees must complete regular workplace safety training and comply with our mandatory safety standards.

Equal Employment Opportunity
It is Maxeon\xe2\x80\x99s policy to provide equal employment opportunity to all applicants and employees. Maxeon will not tolerate unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related