Big Data Engineer

Job Type
Permanent
Salary
Based on Experience
Japanese Level
Fluent
English Level
None
Start Date
ASAP
Location
Tokyo

Description

【職種名 | Position Title】ビッグデータエンジニア | Big Data Engineer エンジニアの働き方やキャリア形成の支援体制が整った企業でキャリア構築できるチャンス!! 海外出張/駐在の可能性があるポジション有!! 【業務内容】 具体的には以下のいずれか、もしくは複数をご担当いただきます; ビッグデータ基盤の設計・構築 ‐ソフトウエア:ビッグデータ基盤関連OSSの調査・検証 ‐ハードウエア:調査・検証・設計・構築 海外パートナー企業とのOSS共同開発 ‐Hadoop、Hadoopエコシステムなど、OSSへの機能追加開発 ‐海外への出張や在駐の可能性があります ビッグデータ基盤のDevOps ‐システム運用、特にデータ量、処理量の技術検討および対応 ‐新しいデータ活用の取り組みを進めるためのプロセスの最適化 ‐大規模環境でしか起こらない特有の問題の原因調査および解決、開発へのフィードバック データウェアハウスの開発 ‐ビッグデータを自由な視点で分析可能とする、大規模統合データウェアハウスの開発と運用 Successful candidates will be assigned to one or some of the following responsibilities: ■Designing & Building of Big Data Platform ‐SOFTWARE: Examine and test Big Data related OSS middleware such as Hadoop,. Hive, HBase, Kafca/Storm, etc. ‐HARDWARE: Examine, test*, design and build ‐by testing, you will be working with infrastructure engineers and hardware vendors ■Co-developing OSS with Partnering companies overseas* ‐Developing additional functions to OSS such as Hadoop ad Hadoop Ecosystem ‐with this position, the successful candidates may be assigned to work overseas for some time or on short-stay basis. ■Big Data Infrastructure DevOps ‐System operation, especially to review technology towards the increasing amount of data and quantity of data processed ‐Optimization of the process in order to incorporate the new data usage ‐Investigate the cause(s) of troubles which is specific to large-scale environment, solve it, and provide feedback for the development ■Development of Data Warehouse ‐Development and operation of the large-scale integrated data warehouse, to make the Big Data available for analysis from various perspectives.

Required Skills

以下のいずれかのご経験; ‐Hadoop系OSSを利用したシステムの設計・構築・運用経験 ‐Teradata、Exadataなどのデータウェアハウスの管理、運用経験 Those who have one of the following experiences are qualified to apply: ‐Designing, building, and operating system that uses Hadoop or similar OSS ‐Managing and operating data warehouse such as Teradata and Exadata