What are the responsibilities and job description for the Data Engineering Manager, Business Planning position at Samsung Electronics America?
Job Details
Position Summary
Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We've grown into one of THE most recognized global brands. We consider ourselves "relentless pioneers" that push boundaries and defy barriers. The company pushes beyond the limits of today's technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA's ENERGY STAR Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations.
People| Excellence | Change | Integrity | Co-prosperity
Role and Responsibilities
The Data Engineering Manager, Business Planning will be responsible for designing, building, and maintaining data pipelines and infrastructure specifically focused on supporting demand forecasting models and ensuring accurate and timely data is available for optimal demand planning decisions; this includes collaborating with business stakeholders to understand demand patterns, integrating various data sources, and optimizing data processing to generate reliable demand forecasts.
Role & Responsibilities
Minimum Qualifications
Preferred Qualifications:
Skills and Qualifications
Life @ Samsung - ;br>
Benefits @ Samsung - ;br>
#LI-JM1
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Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We've grown into one of THE most recognized global brands. We consider ourselves "relentless pioneers" that push boundaries and defy barriers. The company pushes beyond the limits of today's technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA's ENERGY STAR Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations.
People| Excellence | Change | Integrity | Co-prosperity
Role and Responsibilities
The Data Engineering Manager, Business Planning will be responsible for designing, building, and maintaining data pipelines and infrastructure specifically focused on supporting demand forecasting models and ensuring accurate and timely data is available for optimal demand planning decisions; this includes collaborating with business stakeholders to understand demand patterns, integrating various data sources, and optimizing data processing to generate reliable demand forecasts.
Role & Responsibilities
- Convert legacy data infrastructure to a modern SQL supported relational database architecture
- Collaborate with internal partners within several organizations to develop governance policies all can adhere to and are minimally difficult to implement
- Create processes and M&Ps to support confirming governance is being adhered to, data is clean, and new improvements to automation, changes in business direction, etc. are kept up to date
- Automate processes starting with seamless ingestion of source data into data repository through reporting and dashboard generation
- Maintain infrastructure and support redesign, data refresh, and data validation/cleansing on an ongoing basis
- Build and analyze statistical models to identify areas of growth or oversite within team
- Strong presentation skills with ability to concisely articulate proposals and build consensus among team members and leadership to execute plans
Minimum Qualifications
- Bachelor's degree in Computer Science, Data Science or a related field and 6 years of relevant experience
- Expertise with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce)
- Solid understanding of statistical concepts and experience with relevant tools
- Excellent problem-solving and communication skills
Preferred Qualifications:
- Master's degree in Computer Science, Data Science, or a related field and 4 years of relevant experience
Skills and Qualifications
Life @ Samsung - ;br>
Benefits @ Samsung - ;br>
#LI-JM1
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
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