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Associate - Data Engineer
- New York, New York, United States
- New York, New York, United States
Über
Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative soluti ons and considered thought leadership. For further information about Nomura, visit www.nomura.com.
Department overview CTS Core Corporate Services is responsible for delivering and supporting business applications across Human Resources, Audit, Legal, Business Resilience, and Real Estate in addition to offering cross‑functional reporting and content management services.
The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on the HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives.
Key Responsibilities Manage and support HR business applications, including problem resolution and issue ownership Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance Develop and maintain data ingestion processes using Informatica, Python, and related technologies Support data analytics and data science initiatives with optimized data structures and AI/ML tools Manage vendor products and their integrations with internal/external applications Gather requirements and translate functional needs into technical specifications Perform QA testing and impact analysis across the BI ecosystem Maintain system documentation and knowledge repositories Provide technical guidance and manage stakeholder communications
Required Skills & Experience Bachelor’s degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space. Strong hands‑on experience with data management, data warehouse/data lake design, data modeling,ETLTools, advancedSQL and Python programming. Exposure to AI & ML technologies and experience tuning models and building LLM integrations. Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics. Extensive database development experience in MS SQL Server/ Oracle and SQL scripting. Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins Proficiency in using collaboration tools like Confluence, SharePoint, JIRA Analytical skills to model business functions, processes and dataflow within or between systems. Strong problem‑solving skills to debug complex, time‑critical production incidents. Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams. Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.
*base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job‑related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign‑on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at‑will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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Sprachkenntnisse
- English
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