IT, Data Office/Data Management and Operations Team, Lead IT Data Management Consultant, GG12

Responsibilities:

• Contribute to data platform designs, implementation, and operations with focus on end-to-end solutions and reusable frameworks/utilities.
• Install, upgrade, and manage Cloudera, Azure, and open-source Data Platforms, tools & tech stack
• Design and implement capacity, security model, access control, backup strategy, monitoring & alerting, service level of Data Platform
• Optimize and tune the Data Platform for performance improvement
• Plan and execute platform upgrade, maintenance, backup tasks, and audit related tasks.
• Delivery of BI dashboards
• Work closely with data engineers, operation teams, and business teams
• Facilitate projects executions by providing clear information of platform design, architecture, infrastructure, capacity, operations, and proactively collaborations with project teams

Requirements:

 Experience:

• Excellent understanding of the architecture, products, design patterns, typical use cases of Big Data Platform.
• In depth knowledge and experience of Big Data Ecosystems, such as Hadoop, HDFS, Hive, Impala, Spark, Kafka, HBase, Phoenix, Solr.
• 3+ years of experience in relevant Big Data technologies
• Experience with solution architecture, design, and implementation
• Good understanding of data management life cycle
• Hands-on experience of BI tools: Qlik, Power BI etc.
• Experience in large scale data warehouse implementations and knowledge of ETL technologies such as Informatica, Talend etc.
• Basic knowledge of network, infra, security, RDBMS, NO-SQL database.
• Good understanding of project management lifecycle
• Ability to communicate effectively with IT and Business teams
• Good presentation skills
• Excellent written and verbal communication skills by English and Japanese.

 Preferable:

• 10+ years of experience in IT environment.
• Development experience in any of these languages: Java, Python, Scala, Spark, SQL, shell
• Hands-on experience with Linux, Windows server.
• Fundamentals of data science and machine learning
• Experience in Cloud Data Platforms such as Azure.

 Qualifications:

• Bachelor's degree in computer science or information technology, or equivalent experience

 Language:

• English: Intermediate and Above

• Japanese: Intermediate and Above