大手コンサルティングファームグループのデータアナリティクス企業におけるPrincipal Data Engineerの求人
求人ID:128180
募集終了
転職求人情報
職種
Principal Data Engineer
ポジション
Principal Data Engineer
おすすめ年齢
20代
30代
40代
50代以上
年収イメージ
年収イメージ:〜1400万円(経験・能力を考慮の上当社規定により決定)
仕事内容
●What you’ll do
ou will work in multi-disciplinary environments harnessing data to provide real world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
●Role responsibilities
・ Work with clients to model their data landscape, obtain data extracts, and define
secure data exchange approaches
・ Plan and deliver secure, good practice data integration strategies and approaches
・ Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
・Have a strong understanding of Information Security principles to ensure
compliant handling and management of client data
・ This is a fantastic opportunity to be involved in end-to-end data management for bleeding edge Advanced Analytics and Data Science
●Who you’ll work with
Our Principal Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
ou will work in multi-disciplinary environments harnessing data to provide real world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
●Role responsibilities
・ Work with clients to model their data landscape, obtain data extracts, and define
secure data exchange approaches
・ Plan and deliver secure, good practice data integration strategies and approaches
・ Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
・Have a strong understanding of Information Security principles to ensure
compliant handling and management of client data
・ This is a fantastic opportunity to be involved in end-to-end data management for bleeding edge Advanced Analytics and Data Science
●Who you’ll work with
Our Principal Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
必要スキル
●Qualifications
・ Strong experience with at least two of the following technologies: Python, Scala,
SQL, Java
・ Commercial client-facing project experience is helpful, including working in close-knit teams
・ Ability to work across structured, semi-structured, and unstructured data,
extracting information and identifying linkages across disparate data sets
・Meaningful experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR, Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
・Ability to clearly communicate complex solutions
・ Strong understanding of Information Security principles to ensure compliant
handling and management of client data
・ Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform
or Databricks
・ Strong experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
・ Strong command of both English and Japanese (N2 or above)
●Who you are
Our core value is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here - you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for us and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
・ Strong experience with at least two of the following technologies: Python, Scala,
SQL, Java
・ Commercial client-facing project experience is helpful, including working in close-knit teams
・ Ability to work across structured, semi-structured, and unstructured data,
extracting information and identifying linkages across disparate data sets
・Meaningful experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR, Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
・Ability to clearly communicate complex solutions
・ Strong understanding of Information Security principles to ensure compliant
handling and management of client data
・ Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform
or Databricks
・ Strong experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
・ Strong command of both English and Japanese (N2 or above)
●Who you are
Our core value is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here - you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for us and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
就業場所
就業形態
正社員
企業名
戦略系コンサルティングファーム
企業概要
クライアント企業のトップマネジメントが直面する経営課題 - 企業戦略、組織変革、事業部戦略、M&A、グローバライゼーション、エレクトロニックコマースなど、様々なテーマについて、クライアント企業との共同プロジェクトを通して、解決策の提言とその実施を支援しています
企業PR
業務カテゴリ
組織カテゴリ
備考
データサイエンティストの求人情報
コンサルティングファームの求人情報
外資系の求人情報
転職体験記
- 初めての転職、大手銀行から大手監査法人へ(20代/女性/私立大学卒)
- 外資系大手生命保険会社で再びシステム開発の業務へ(30代/女性/私立大学卒)
- チャレンジできる環境を求めて、インターネットメディアと人材ビジネスを手掛ける企業へ(20代/男性/私立大学院卒)
- 研究開発の経験を活かして、損害保険会社へ(40代/男性/公立大学卒)
- これまでのスキルを活かして、ホワイト企業認定取得の上場ソフトウェアテスト企業へ(40代/男性/専門学校卒)
- 希望を叶え満足の内定、大手運用会社でのシステムエンジニアへ(20代/男性/国立大学院卒)
- ITマネージャーの経験を活かして、外資系総合商社へ(40代/男性/私立大学院卒)
- システム担当としての経験を活かしつつ希望の勤務地へ、独立系投信投資顧問へ(40代/男性/私立大学卒)
- 希望を叶えて、日系大手証券会社へ(30代/男性/私立大学院卒)
- ITコンサルタントとしての経験を活かして、外資系大手試験・認証機関へ(40代/男性/海外大学卒)