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【IT】Senior Big Data Engineer
野村證券株式会社 —千代田区大手町
- Azure
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【IT】Senior Big Data Engineer

野村證券株式会社 -
千代田区大手町

今すぐ応募する

求人の詳細

正社員

資格とスキル

Azure
HDFS
ビッグデータ
Spark
Google Cloud Platform
修士号
SQL
Scala
仮想化
Apache
物流倉庫での勤務経験
DWH
Hadoop

仕事内容の詳細

IT: Developer
【IT】Senior Big Data Engineer
Associate / Senior Associate

職務内容
Job Description

1) Job/Group Overview:
Company overview
Nomura is a global financial services group with an integrated global network spanning over 30 countries. Japan IT (Information Technology) is a diverse environment with employees of over 25 nationalities, who work on technical support, application development and implementation of system changes for Japan Retail Wealth Management Business and Global Wholesale (Global Markets and Investment Banking). Nomura provides competitive employee benefits, training and upskilling opportunities, and is committed to promoting diversity, equity and inclusion, employee health and well-being.

野村グループは、グローバル金融サービス・グループとして、世界約30の国や地域にネットワークを有しています。日本のインフォメーション・テクノロジー部門は、25以上の国籍のメンバーが在籍する多様な環境であり、日本のリテール・ウェルスマネジメントビジネス、グローバルホールセール（グローバルマーケッツとインベストメントバンキング）において、テクニカルサポート、アプリケーション開発、システム変更などの業務に従事しています。野村グループは、充実した福利厚生、トレーニングやスキルアップの機会を提供し、ダイバーシティー、エクイティとインクルージョンの推進、従業員の健康とウェルビーイングを重視しています。

Key objectives critical to success
We are looking for a talented and experienced professional to join our team as a Big Data Engineer with specific focus on data engineering, automation and innovation. In this role, you will part of a team leading the design, development, and implementation of robust and scalable application which is used for the liquidity reporting. This role is technical and hands-on and requires a deep understanding in big data, Hadoop, mapr, minio, scala / spark, DevOps practices, and software development lifecycle (SDLC). It requires the development and implementation of processes, policies, standards, and solutions in collaboration with the Global treasury users and key stakeholders (e.g., Technology, business, EIS, compliance). You will play a key role in shaping our regulatory platform strategy and ensuring the resilience and effectiveness of liquidity reporting.

2) Responsibilities:

Key Responsibilities

Architect, develop, and enhance large-scale data processing platform using Scala and Apache Spark on Hadoop clusters.
Design and implement robust ETL workflows to ingest, cleanse, and transform financial data from diverse sources to support regulatory requirements such as Basel III and liquidity reporting (LCR/NSFR/PRA).
Manage and optimize object storage solutions using MinIO for scalable data lake architectures.
Integrate and federate data sources using Dremio and Denodo to enable seamless data access for regulatory, risk, and business users.
Collaborate with business users to deliver reliable and high-quality data for regulatory reporting, including liquidity and risk metrics.
Implement best practices for data quality, data governance, security, and regulatory compliance (Basel III, LCR, NSFR, PRA, SOX, FINRA).
Tune cluster resources to ensure system performance, data integrity, and cost-effectiveness.
Provide technical leadership, perform code reviews, and mentor junior engineers.
Document data architectures, workflows, and maintain up-to-date technical documentation, particularly for regulatory data flows.
Stay current with emerging data technologies, banking regulations, and trends in financial risk and compliance.

登録資格
Requirements

Requirements:

Mandatory:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
6+ years of experience in big data/data engineering roles, ideally within financial services.
Expert-level proficiency in Scala programming and advanced use of Apache Spark for large-scale data processing.
Deep knowledge and hands-on experience with Hadoop Distributed File System (HDFS) and ecosystem tools.
Experience administering and utilizing MinIO for scalable object storage.
Solid experience with Dremio and/or Denodo for data virtualization and integration.
Strong SQL skills and experience supporting BI/reporting solutions, particularly Tableau.
Solid understanding of security and governance in financial data management.
Direct experience working with or supporting Basel III (including LCR, NSFR, PRA) or other regulatory liquidity reporting.
Proven ability to optimize data pipelines/workflows for performance and reliability.
Experience working with complex, sensitive, and/or regulated financial data.
Excellent communication and collaboration skills.
Excellent analytical, problem-solving, and project management skills.
Strong communication and interpersonal skills to collaborate with diverse teams and stakeholders.

Preferred Qualifications:

Familiarity with data modeling and data warehouse concepts.
Experience integrating or supporting regulatory frameworks in a financial context.
Exposure to cloud-based data platforms (AWS, Azure, or GCP) is a plus.
In-depth knowledge of regulatory requirements and reporting relevant to finance (Basel III, LCR, NSFR, GDPR, SOX, FINRA, etc.).
Experience with Agile/Scrum methodologies.

※応募にあたり、英語のレジュメの提出をお願いしております。
※Please submit your resume in English when applying.

待遇
Salary/Benefits

Diversity & Inclusion:
Nomura is an equal opportunity employer. We value diversity and are committed to ensuring we best reflect the diversity of the communities we serve creating an inclusive environment for all our employees. We welcome all applications and do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation.

If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us.

野村グループはすべての人に平等な雇用機会を提供する企業です。野村グループは多様性を尊重し、当社がサービスを提供する地域社会の多様性を最大限に反映し、すべての従業員にとってインクルーシブな環境を構築することに取り組んでいます。野村グループはすべての応募を歓迎し、年齢、障害、性自認と性表現、妊娠と出産、結婚と市民パートナーシップ、人種、宗教または信念、性別または性的指向に基づいて差別することはありません。
障害や長期的な健康状態のために支援や合理的な調整が必要な場合は、遠慮なくご連絡ください。

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Requirements:

Mandatory:

Preferred Qualifications:

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Requirements

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