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Data Solutions Architect (Tokyo)

料金: Negotiable
job title: Data Solutions Architect
雇用形態種別: フルタイム
Join Our Innovative Data Team as a Data Solutions Architect!

Are you passionate about designing cutting-edge data solutions? Do you thrive in a collaborative environment where your expertise can make a real impact? If so, we invite you to join our dynamic team as a Data Solutions Architect!

Language Proficiency:

Japanese: Intermediate
English: Intermediate

Key Responsibilities:

-Collaborative Innovation: Work closely with users and project teams to understand and shape requirements and expectations, ensuring we deliver exceptional solutions.
-Strategic Analysis: Analyze business requirements to create robust data solutions that meet both functional and non-functional needs.
-Architectural Excellence: Define and design data architecture, structure, storage, and security models using HDFS, Hive, HBase, Solr, and RestAPI.
-Scalable Solutions: Design and implement highly scalable data pipelines in Scala, Spark, and Java to process vast amounts of data efficiently.
-Reusable Frameworks: Develop and maintain reusable frameworks for data ingestion, validation, normalization, and transformation.
-Automation Mastery: Automate unit testing and release processes using CI/CD pipelines to ensure smooth and efficient deployments.
-Operational Expertise: Create scripts for operations, releases, data migrations, and data validations to streamline processes.
-Data Integrity: Maintain comprehensive data lineage information to ensure data accuracy and reliability.
-Technical Support: Provide expert technical support for releases, troubleshooting issues, and resolving incidents.

Skills and Qualifications:

-Hadoop Ecosystem Proficiency: In-depth knowledge and experience with HDFS, Hive, HBase, Phoenix, Solr, Oozie, Impala, Knox, Zookeeper, YARN, Spark, Livy, HUE, and Zeppelin.
-Programming Excellence: Strong programming skills in Scala and Spark, with a solid understanding of database schema design on data platforms.
-Database Knowledge: Good knowledge of Oracle database, MS-SQL Server, MongoDB, Kerberos, Linux, and networking.
-Technical Proficiency: Proficient in SQL, shell scripting, git, unit testing, and CI/CD tools.
-Design Principles: Understanding of design principles, coding standards, and best practices.
-Problem-Solving Skills: Excellent problem-solving abilities to tackle complex challenges.
-Data Analytics: Strong data analytics skills to derive meaningful insights from data.
-Communication Skills: Excellent communication, presentation, and interpersonal skills to effectively convey technical information.

Preferred Qualifications:

-Advanced Technologies: Understanding of REST API, micro-services, ETL, and Salesforce is a plus.
-Cloud Expertise: Hands-on experience with cloud services is highly desirable.
-Streaming Data: Knowledge of streaming data processing and change data capture is preferred.
-BI Tools: Experience with BI tools will set you apart.

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投稿ID: 7746730136

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