人材紹介スキルハウス・スタッフィング･ソリューションズ株式会社/Skillhouse Staffing Solutions K.K.
IT関連（オープン・WEB系） - WebアプリケーションSE
IT関連（オープン・WEB系） - データベースSE
IT関連（オープン・WEB系） - 業務アプリケーションSE
‐ Identify different data sources, analyze/execute data ingestion process by functional/technical configurations aligning with governance and security policies.
‐ Create and monitor data reconciliation process.
‐ Data model and Data mart creation in order to make data usable from end user point of view.
‐ Business requirement prioritizing and delivery based on agile project management methodologies.
‐ Based on user requirements ‐ analyze & design the solution, create/review source code in presto/hive SQL to extract the data from Big Data systems as Data Ocean / Treasure Data.
‐ Create Python or Ruby or Java programs to design the workflow and In/Out data between different systems.
‐ Maintain different sources codes for data ingestion, reconciliation, extraction and transfer in source code repository such as Bit Bucket or GitHub.
‐ Proactive interaction with different units, and provide automated solutions in order to gain operational efficiency.
|Global FMCG Company. This is a great opportunity to work in a diverse and international environment in Japan.|
|勤務時間||9:00 - 17:30（Mon - Fri）|
‐ Hands･on working experience as a software engineer and business analyst, who has attained a Graduate degree in Computer Science, Information Systems or another quantitative field.
‐ Advanced query authoring SQL (Presto/Hive) knowledge and experience working with a variety of databases is must in order to extract, analyze and transfer data for business activity purpose.
‐ Experience with big data tools: Hadoop, Spark, Kafka, etc. and relational SQL and NoSQL databases, including Postgres.
‐ A successful history of manipulating, processing and extracting value from large disconnected datasets.
‐ Hands on Experience with object･oriented/object function scripting languages: Python, Java, C++, Scala is mandatory
‐ Hands on Experience with Source code management systems such as BitBucket or GitHub is mandatory
‐ Hands on Experience with AWS cloud services: EC2, EMR, RDS, Redshift is must
‐ Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
|英語能力||ビジネス会話 (TOEIC 735-860)|
|年収||日本・円 900万円 〜 1000万円|
‐ Social insurance
‐ Transportation Fee
|休日||Saturday, Sunday, and National Holidays|