大手証券会社でのData Analytics and Engineering Leadの求人

Job/Group Overview：
Group Data Analytics Technology (GDA Tech) is part of the CTO group and is responsible for managing data and analytics technologies such as Snowflake, Power BI, Tableau, and other proprietary tools. The Data CoE (Center of Excellence) accelerates data utilization at our Group in Japan, and this data engineering position supports Data CoE activities from a technical perspective.

What We Offer：
Opportunities to work as a Data CoE member, contributing to projects across all Japan businesses within our Group
Hands-on experience with enterprise-level Data Warehouse framework for a global financial services company
Experience in a high-standard, collaborative environment with diverse backgrounds
Work in an international environment at the global headquarters of a global financial company
Monthly 10-hour secured training hours within working hours for skill development with access to free e-learning courses (Pluralsight or Udemy + internal resources)
Financial support for technical certifications
Competitive compensation based on experience and performance

Responsibilities：
Lead and review the architecture design of data pipeline, and develop and implement data infrastructure and pipelines to support our Group’s Enterprise Data Warehouse
Lead the data engineering team and collaborate with business analysts to design, build, and enhance data processing systems and data warehouses, particularly Snowflake
Implement new data governance tools, data protection, and data sharing capabilities to ensure compliance and security of data
Lead the onboarding of new data sources and systems into the existing infrastructure, ensuring seamless integration and data quality
Streamline and optimize systems to improve efficiency, scalability, and performance of data processing and storage
Collaborate with stakeholders to understand their data needs and provide data solutions to support business operations and analytics
Conduct data quality checks, troubleshooting, and performance tuning to ensure the accuracy and reliability of data
Stay updated on industry trends and best practices in data engineering, and contribute to the continuous improvement of data infrastructure and processes

Requirements：
Mandatory
Bachelor’s degree or above in Computer Science, Engineering, or a related field
10-15 years of experience as a data engineer, cloud engineer, infrastructure engineer, or an application developer
Proficiency in programming languages such as Python, Java, or SQL
Experience with Windows and Unix/Linux systems
Business-level English (TOEIC 930+ or Native) and Japanese proficiency (JLPT N2+ or Native)
Knowledge of basic processes of system development projects (CI/CD, etc.)
Leader’s mindset, collaboration, task ownership, strong problem-solving skills, and attention to detail

Preferred
Certification in relevant data engineering technologies (Snowflake, StreamSets, Alation) or cloud platforms (AWS, Azure, Google Cloud)
Experience in data engineering technologies (Snowflake, StreamSets, Alation) or cloud platforms (AWS, Azure, Google Cloud)
Experience in enterprise-level cloud platforms (e.g., AWS PrivateLink, BYOK)
Experience in BI tools (Power BI, Tableau)