Senior Data Engineer

• Build, maintain and enhance data platform/ML platform.
• Work with stakeholders including Marketing, Product, Sales.. to create and maintain optimal systems.
• Model and assemble large, complex data sets that meet business requirements
• Designing scalability of related technology infrastructure.
• Perform daily monitoring and handling data-related technical issues and data.
• Coordinate with other teams to provide: secured access to each data object and domain.
• Data protection controls based on requirements defined.
• Data quality via adjustment defined in the implementation plan.
• High quality of maintaining Metadata, Master/Reference data, and data dictionary.
• Foster a data-driven decision-making culture within the organization, be a dedicated partner of the Executives team and Functional heads in regard to data services and solutions.
• Lead, motivate, and manage team members to achieve work efficiency and advance their data careers.
• Enhance data services catalog and quality of data deliverables; initiate or lead corporate-level data projects, consult on function-level data projects.
• Proactively collaborate and maintain working relationships with relevant functions to best match data solutions with organizational and functional needs.
• Oversee the collection, storage, management, and protection of data; develop and reinforce the data governance and regulations across the company.
• Effectively communicate the status, value, and importance of data initiatives to Executive members and staff.

1. Requirements:

• S or M.S. degree in computer science, software engineering, information systems or other related fields.
• Thorough understanding of the data landscape.
• Demonstrable knowledge of data-related applications, big data solutions, and tools.
• Management experience; project/people management skills.
• Strong knowledge of data security from high to detail level.
• 3+ years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling).
• 4+ years of building and managing BI/OLAP/DWH/DB systems on a large scale.
• 4+ years of working with ETL, big data, relational database and NoSQL.
• 2+ years of working with natural language processing, information retrieval, deep learning, data mining.
• 2+ years in software development and programming.
• Strong knowledge of programming languages: SQL, Python...
• Familiarity with cloud provider: GCP, AWS, Azure

2. Nice to have

• Experience with resource planning and architectural design of large volumes of data and high traffic.
• Experience project management, organizational, analytical, problem-solving and communication skills
• Leadership skill set is preferred.
• Strong problem-solving skills, with a focus on understanding overall business issues and determining innovative solutions.
• Strong project management and organizational skills.
• Good at presentation and communication skills.
• Good at English verbal communicating and writing