【上場インターネットサービス企業】ビッグデータエンジニア(広告ビジネス)

勤務形態
正社員
給与
6,000,000 JPY - 9,000,000 JPY per year
日本語レベル
なし
英語レベル
ビジネスレベル(TOEIC 860)
開始日
ASAP
勤務地
東京

職務内容

One of the largest Internet service companies in the world is hiring a Big data Engineer for their advertising business.

【Position Description】
The department is in charge of development and operation of advertising platforms in the Group. They provide products and platforms for their advertising businesses, as well as providing technology solutions for the Group's marketing activities.

They are now building scalable x stable data pipeline to consolidate various ad products' Tracking and Reporting system. You will be in charge of Technical Lead for this system, and will have a key role in feature planning, design, development, delivery and operation based on your strong Big Data knowledge / experience and Technical leadership.

You will manage unprecedented Big Data in this industry. Hence, they are looking forward to working with persons who can enjoy:
‐ Solve large-scale data processing by technology (ideas)
‐ Using modern technology to tackle ad business, issues, etc.

【Main Responsibilities】
‐ Build and maintain large-scale batch and real-time data pipelines with data processing frameworks and technologies like Spark, Hive, Flink, Spark-Streaming, Hadoop, etc.
‐ Lead and coordinate the engineering teams (or Project teams) to ensure the right architecture decisions are made, and the right development and operation processes are taken
‐ Responsible for technical decision of implementation (architecture and development process), and also the production system quality (operation and maintenance)
‐ Lead technology decisions to correctly place solutions for both functional and non-functional requirements, and to make the right decisions at the right timing for all the scaling, security, maintenance ability, etc.
‐ Provide estimates, risk info, and recommendations to PMs for creating the system roadmap and to support prioritization conversations

【Technology Stack】
‐ Language: Java, Python, HiveQL, Go, Bash, Perl
‐ Data Collectors: Fluentd, Kafka Producer API, Pub/Sub SDK
‐ Data Processing: HIVE, Spark, Kafka, Flink, Data Flow, Map Reduce, Pub/Sub
‐ Data Lake: HDFS, GCS, Big Query
‐ OLAP: CouchBase, AeroSpike, Big Query, etc.


【会社概要 | Company Details】
グローバルに展開する一部上場インターネットサービス企業です。様々な事業を展開し、成長を続けています。日本にいながら異文化コミュニケーションができる国際的な環境かつ、女性や外国籍の管理職登用にも積極的なダイバーシティな環境でもあります。世界的にも知名度アップを図り、スポーツチームのスポンサーなども積極的に行っています。
エンジニアの方には嬉しい、WindowかMacを自分で選択することができます!社内カフェテリアは明るく、毎日食べても飽きないほど、メニューが豊富です!
スキルハウスから就業しているスタッフも多く、年間成約数もトップレベルを誇ります。会社同士の信頼関係も厚く、面接のプロセスもスムーズです。実際に企業に応募する前に、経験豊富な企業の専任担当より会社の様子など、詳しくお伝えいたします。また、日本語・英語でのレジュメの書き方のアドバイスや面接の準備もいたします。ケースbyケースですが、社内ツアーを設定することもできます。


Our client is a large global Internet service company that has enjoyed sustained growth as they continue to expand their business in various new areas and industries. This is a great opportunity to work in a diverse and international environment in Japan. Our client actively strives to be an equal opportunity employer, and they have many female and foreign nationals in upper management positions. Their brand has also gained global recognition as they sponsor some of the world's most famous sports teams. Our client prides themselves in providing a comfortable working environment for their employees. Engineers are welcome to choose their own setup (Windows/Mac, etc.); whatever makes them comfortable! Free meals are also provided at the company cafeteria. Their chefs work to create exciting new menus and dishes, so employees never get tired of the food!
 
【就業時間 | Working Hours】
9:00 - 17:30(Mon - Fri)
 
【休日休暇 | Holidays】
完全週休2日制(土日祝休み)、年末年始、年次有給休暇、その他特別休暇など
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
 
【待遇・福利厚生 | Services / Benefits】

各種社会保険完備(厚生年金保険、健康保険、労災保険、雇用保険)、 屋内原則禁煙(屋外に喫煙所あり)、 通勤交通費支給等

Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

必須スキル

‐ Experience in large-scale data processing experience using Big Data tools such as Hadoop, Spark, Kafka, Hive, etc.
‐ Experience in making both functional and non-functional requirements, design, building and operating Data pipelines
‐ Software development experience using the following languages (Java, Python, Go, Bash, Perl, etc.)
‐ Software development experience (and consistent development experience in requirements definition, specification formulation, implementation, testing, release, and maintenance operation)
‐ Experience in database design and performance tuning

優遇されるスキル・経験

‐ Experience in operation for online advertising (Ad product)
‐ Experience in middleware selection and integration
‐ Experience in scrum development