Data Specialist

About Us

SES is a global leader in development and production of high‐performance Li‐Metal rechargeable batteries for electric vehicles (EVs) and other applications. Founded in 2012, SES is an integrated Li‐Metal battery manufacturer with strong capabilities in material, cell, module, AI‐powered safety algorithms and recycling. Formerly known as Solid Energy Systems, SES is headquartered in Boston and has operations in Singapore, Shanghai, and Seoul.

To learn more about SES, please visit: www.ses.ai

Position Scope

SES is seeking a talented Data Specialist to join our team. The successful candidate is committed and dedicated, responsible, focused, detail‐oriented, able to adjust in a fast‐paced working environment, collaborate well with other staff members with a shared vision and demonstrate excellent organizational communication skills.

This position will be based in Seoul, South Korea.

Reporting to our Data Team Head in Shanghai.

Responsibilities

• Identify data collection points for battery production lines and develop standardized templates to ensure consistency and uniformity in data collection.
• Responsible for real-time data collection, preprocessing, and synchronous uploading of data from battery production lines, ensuring efficiency and stability in data transmission.
• Continuously monitor and track the completeness and accuracy of data collection, promptly identify and resolve data quality issues to ensure data reliability.
• Familiar with the infrastructure and processes of existing data Lakehouse development. Assist line managers on data analysis.

Qualifications & Preferred requirements

• BA degree or higher.
• At least 2 years of experience in data engineering or a related field.
• Familiar with the basic concepts of data lake houses and data modeling; actual experience in data Lakehouse development is preferred.
• Proficient in programming languages such as Python and SQL, with practical experience in data analysis and processing; experience with big data is preferred.
• Familiarity and effective use of common relational databases, such as SQL Server and MySQL.
• Attention to detail, patience, strong communication skills, and the ability to effectively collaborate with cross-functional teams.
• Candidates with experience in data collection and analysis for battery production lines are preferred.