Platform Engineer - Data Solutions_ID:577
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勤務地東京都
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職種アプリケーション開発エンジニア(オープン系)
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業種医薬品メーカー(先発医薬品)
募集要項
業務内容 |
The Opportunity As a Data Platforms Engineering leader, you'll have a business Impact and direct alignment to the Head of Data Platforms and Architecture vision. The role is a key enabler for strategy to become a Data Driven Enterprise. By connecting with Business Units and Business Functions within Global Business and with their data teams, the data platform lead will strategically architect data, processes, and technology to achieve faster time to market for life saving products. Ultimately, help to make better decisions that improve the quality and efficiency of care for patients. You will develop data driven solutions utilizing current and next generation technologies to meet evolving business needs. You will quickly identify opportunities and recommend possible technical solutions and you will develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance, reliability, and integrity. As part of our transformational journey on Data & AI in Operations, we are taking the steps to advance to Data Mesh architecture. The current Datalake exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of EDS is also accelerating Operations’ data strategy of making our data Findable, Accessible, Interoperable, and re-useable. This is being achieved through the creation of a distributed data architecture, management of our data and data products which will sit as a centerpiece of this strategy and the future evolution of Data Science. Responsibilities Create best practices and thought leadership content to be used by the federated delivery teams building data solutions and data products on Enterprise Data platforms that cater to batch, streaming and real-time data. Influence stakeholders at all levels through complex engagement models with the wider cloud ecosystem not limited but inclusive of AWS foundations for Infrastructure and data technologies, Databricks, Informatica, Kafka, Managed File Transfer, and 3rd party applications, ensuring they are excited by the Enterprise Data Services vision and solution strategy. Be a 'champion’ for both customers and colleagues by operating as an expert Engineer and trusted advisor for significant data analytics architecture, design, and adoption and scaling of the Datalake platform. Provide a roadmap for modernizing legacy capabilities inherent to the current platform. Support all data platform initiatives – Data Lake Strategy, Data Engineering and Platform development, Data Governance, Security Models, and Master Data Management. Establish a collaborative engineering culture based on trust, innovation, and a mindset of continuous improvement. Utilize Industry best practices and agile methodologies to deliver solution and extract efficiency through automations in Continuous Development and Continuous Integration. Manages efforts to problem solve for engineering challenges and coordinate with project consultants and delivery/engagement managers. As a leading technical contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined data problem/specification, and execute it at a high level. Have a strong focus on metrics, both for the impact of their work and for its engineering and operations. Understand the Data Platforms investments and create data tools for consumption of services and uncover opportunities for cost optimization to assist the team in building and optimizing our platforms into an innovative unit within the company. Skills and Qualifications Bachelor’s degree or higher in Computer Science/Information technology; or relevant work experience. |
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雇用形態 | 正社員 |
応募資格 |
Skills and Qualifications Bachelor’s degree or higher in Computer Science/Information technology; or relevant work experience. Must Requirements: - Data Engineering Experience; Business level English/Japanese 8+ years of relevant work experience in data platforms, solutions, and delivery methodologies (Java, Python, Spark, Hadoop, Kafka, SQL, NoSQL, Postgres and/or other modern programming language and tools such as JIRA, Git, Jenkins, Bitbucket, Confluence). Familiarity with the core technology stack, including Databricks Lakehouse (Delta Lake) or equivalent such as Big Query/Snowflake, SQL/Python/Spark, AWS, Prefect/Airflow, Deep Specialty Expertise in at least one of the following areas: Experience scaling big data workloads that are performant and cost-effective. Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins) Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. - Software Engineering Experience; 5+ years’ experience in a customer-facing technical role with expertise in at least one of the following: Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions. Nice to have; Experience with ETL/Orchestration tools (e.g., Informatica, and Airflow, etc.) Industry level experience of working with public cloud environments (AWS, GCP, or Azure), and associated deep understanding of failover, high-availability, and high scalability. Data ingestion using one or more modern ETL compute and orchestration frameworks (e.g., Apache Airflow, Luigi, Spark, Apache Nifi, Flink and Apache Beam). 3+ years of experience with SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake. Advanced working SQL knowledge and experience working with relational databases, authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Working knowledge of message queuing, pub/sub stream processing, and highly scalable 'big data' data stores. Outstanding communication and relationship skills, ability to engage with a broad range of partners, capable of leading by influence. |
英語力 | ビジネスレベル |
年収 | 500万 〜 800万円 |
給与詳細 |
月額(基本給):310,000円~ <昇給有無>有 <残業手当>有 <給与補足> ※年収は前職の経験を考慮の上、規定により決定します。 ■昇給:原則年1回 ■賞与:年2回 |
勤務地 | 東京都 |
備考 |
”Better Health for People, Brighter Future for the World” is the purpose of a company.We aim to create a diverse and inclusiveorganization where people can thrive, grow and realize their own potential while enabling our purpose. We continue to innovate and drive changes that will transformthe lives of patients. We’re looking for like-minded professionals to join us. global values-based, R&D-driven biopharmaceutical leader. We are guided by our values of ism, whichhas been passed down since the company’s founding. ismincorporatesIntegrity, Fairness, Honesty, and Perseverance, with Integrity at the core. They are brought to life through actions based on Patient-Trust-Reputation-Business, in this order. |
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システム開発・標準化に向けた要件定義及び関連業務の実施(各種開発業務を含む) ・現状システム分析 ・要件定義、概要設計 ・詳細設計及びシステム開発 ・運用手順検討
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職務内容 ■担当業務 臨床研究で使用するシステムの開発及び維持管理を担っていただきます。 当社ではEDCシステムを自社開発しており、効率的な臨床データの集積、進捗管理をサポートしております。 ユーザー(臨床医、当社の社員)の声に応じてEDCシステム改修していくこともございます。 ※EDC:インターネットを使い電子的に臨床データを収集するシステム →具体的な業務 ・受託案件のマネジメント(部署としての窓口対応) ・受託案件で使用するWebアプリケーションの設計・試験設定・テスト依頼 ・受託案件で構築したWebアプリケーションの保守、運用 ・業務改善支援(社内システムの提案や設計等) SEと同じ部門に所属しますが、システムを開発するにあたっての仕様を社内外の関係者と協議・調整していき、システム改修や社内外からの問い合わせがあった際にはその窓口として担当していくポジションです。 同時期に数案件を担当し、クライアントや案件のフェーズに応じて柔軟に対応していくコミュニケーションスキルが求められます。 プログラミングスキルは不要ですが、社内外とシステム関連のやり取りができる知識と臨床研究の流れを理解していく姿勢は必要です。 ■弊社のエンジニアとして働く魅力 ・事業会社として自社の競合力を支える自社製プロダクトに直接関われる重要感 ・少数精鋭のエンジニアとフラットなチーム ・事業会社であるため、顧客との距離も近くに改善生きていける ・覚悟のある提案は通りやすいので、自分の可能性を広げたい方にはオススメ ・私服勤務OK(顧客折衝、会談等を除く) ■身に付けられるスキルと知識・キャリアパス ・受託案件を通して社内・社外に対するコミュニケーション能力とマネジメント能力の向上 ・エンジニアリードでプロジェクトをマネジメントする機会 ・医療業界出身の多様な人材との交流、医療系スタートアップ立ち等に使える知識・製品戦略、価格戦略など高度なビジネススキルの獲得
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