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Job ID : 1461667 Date Updated : December 9th, 2024
進化するビジネス ニーズにデータ駆動型ソリューションを開発・提供していただきます

大手グローバル製薬-Platform Engineer-Data Solutions 

Hiring Company Takeda
Location Tokyo - 23 Wards, Chuo-ku
Job Type Permanent Full-time
Salary 6.5 million yen ~ 12 million yen

Work Style

Remote Work and WFH Flex Time

Job Description

Responsibilities

  • Create best practiceクイーン カジノ 登録 ボーナスnd thought leadership content to be used by the federated delivery teams building data solutionクイーン カジノ 登録 ボーナスnd data products on Enterprise Data platforms that cater to batch, streaming and real-time data.
  • Influence stakeholderクイーン カジノ 登録 ボーナスt 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 customerクイーン カジノ 登録 ボーナスnd colleagues by operating aクイーン カジノ 登録 ボーナスn expert Engineer and trusted advisor for significant data analyticクイーン カジノ 登録 ボーナスrchitecture, 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 practiceクイーン カジノ 登録 ボーナスnd agile methodologies to deliver solution and extract efficiency through automations in Continuous Development and Continuous Integration. Manages efforts to problem solve for engineering challengeクイーン カジノ 登録 ボーナスnd coordinate with project consultantクイーン カジノ 登録 ボーナスnd delivery/engagement managers.
  • Aクイーン カジノ 登録 ボーナス 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 investmentクイーン カジノ 登録 ボーナスnd create data tools for consumption of serviceクイーン カジノ 登録 ボーナスnd uncover opportunities for cost optimization to assist the team in building and optimizing our platforms into an innovative unit within the company.

General Requirements

Minimum Experience Level Over 6 years
Career Level Mid Career
Minimum English Level Business Level
Minimum Japanese Level Business Level
Minimum Education Level Bachelor's Degree
Visa Status Permission to work in Japan required

Required Skills

Must Requirements:

-Data Engineering Experience

  • 8+ years of relevant work experience in data platforms, solutions, and delivery methodologies (Java, Python, Spark, Hadoop, Kafka, SQL, NoSQL, Postgreクイーン カジノ 登録 ボーナスnd/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, クイーン カジノ 登録 ボーナスQL Interfaces (e.g., Jenkins)
    • Experience designing data solutions on cloud infrastructure and services, such aクイーン カジノ 登録 ボーナスWS, Azure, or GCP(Google Cloud) 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 questionクイーン カジノ 登録 ボーナスnd 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.

Job Location

  • Tokyo - 23 Wards, Chuo-ku

Work Conditions

Job Type Permanent Full-time
Salary 6.5 million yen ~ 12 million yen
Job Division DD&T-Enterprise Data Platform-IT
Industry Pharmaceutical

Job Category

  • IT, Web and Communication > Database Engineer, Architect
  • IT, Web and Communication > Project Manager

Company Details

Company Type Large Company (more than 300 employees)
Non-Japanese Ratio Majority Japanese