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The Randstad Offshore team is seeking an experienced Data Engineer with a passion for developing and implementing data solutions in Google Cloud Platform. The ideal candidate will have hands-on experience working with tools such as Cloud Composer (Apache Airflow), Cloud Storage, BigQuery, Cloud Functions and have experience with deploying batch and streaming pipelines.   The candidate must be inquisitive, detail oriented, and highly motivated for deliverin

社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容Major European Luxury BrandInternational Environment求められる経験• Japanese: Fluent, English: Business level• Experience of development of ETL and data warehouse• Experience of development of dashboard in PowerBI(or similar BI tool)• Experience of SSMS/SSAS保険健康保険　厚生年金保険　雇用保険休日休暇土曜日　日曜日　祝日給与年収500 ～ 750万円賞与0

Microsoft arena – AzureApplication – low code no code70% data engineering + 30% applicationabout the companyMy client operates globally in 60 countries, setting industry standards for safety and quality in food, packaging, and consumer products. about the jobGuiding the development and improvement of our data pipelines, databases, and systems to efficiently serve our customers, ensuring scalabilityscalability and reliability.Collaborating closely with sta

Azure cloud knowledge70% data engineering + 30% applicationAttractive perks & benefits about the companyMy client operates globally in 60 countries, setting industry standards for safety and quality in food, packaging, and consumer products.about the jobGuiding the development and improvement of our data pipelines, databases, and systems to efficiently serve our customers, ensuring scalibility and reliability.Collaborating closely with stakeholders and ana

About the company: My client is a leading global multinational investment banking and financial services company. You will be joining the data engineering team to help build the best technology company in the financial services industry. You will play a leading role in shaping and driving the next evolution of their data and analytics platform, providing guidance and support to your team. What role you will play: As a Lead Data Engineer, you will be

社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容• Migrate and rationalize reports and insights to a mature BI environment to agreed prioritization and implementation schedules• Develop BI dashboard and design data model based on the business requirements求められる経験• Hands-on experience writing SQL queries across different data sets.• Experience in big data/data reporting and Business Intelligence tools (e.g. PowerBI, Tableau, DOMO, Looker).• Experience working with str

Microsoft arena – AzureApplication – low code no code70% data engineering + 30% applicationabout the companyMy client operates globally in 60 countries, setting industry standards for safety and quality in food, packaging, and consumer products. about the jobGuiding the development and improvement of our data pipelines, databases, and systems to efficiently serve our customers, ensuring scalibility and reliability.Collaborating closely with stakeholders a

About the companyMy client is a leading global multinational investment bank and financial services company. They are working to create lasting value for our communities, our clients and our people. It is headquartered and listed in the Australian stock exchange and employs nearly 15000 staff in over 20 countries, is the world's largest asset manager in infrastructure and Australia's top ranked mergers and acquisitions adviser with almost half a trillion d

PythonsqlpysparksparkAwsData engineerBig data

社名社名非公開職種データベースエンジニア業務内容We are looking for someone with a strong background in data engineering who is passionate about accelerating data-driven decision making throughout the company.As Senior Data Engineer, you will be working with internal teams to understand their data needs and provide the data platform that helps their day-to-day decisions.Responsibilities-Develop and maintain the data platform (data collection, analysis, and visualization)-Work with

team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients. As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled engineers who are proud to p

Randstad Technologies, divisione specializzata nella ricerca e selezione di profili ICT di Randstad Italia, ricerca per importante cliente, prestigiosa software house leader nelle soluzioni integrate di gestione dei dati, unJunior Data Engineer & Product Specialist

Randstad Technologies, divisione specializzata nella ricerca e selezione di profili ICT di Randstad Italia, ricerca per importante cliente, prestigiosa software house leader nelle soluzioni integrate per la gestione dei dati, unData Engineer Front End

A Randstad está a desenvolver um processo para um Data Engineer Specialist com conhecimentos sólidos de GCP. O objetivo deste perfil é reforçar as competências da equipa nas tecnologias GCP e com especial responsabilidade de gerir e capacitar o esforço de migração do sistema de BI Core e acompanhamento do projeto GCP Contact centers.

OfferWorking within a virtual global team, the profile will have the opportunity to work on analytical projects across the entire enterprise. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer Lead will support our global team on data initiatives and will ensure consistency and adherence to the standards and guidelines of the platforms.Must

Our esteem client is hiring for the Data Engineer Role. Location - BangaloreDatabase Exp 4 - 9 Years ResponsibilitiesPlease find below JD for Snowflake. Role - Snowflake Lead/Architect.Location – B/M/H/P/CBand –   (8+ yrs. of exp)Candidate must be hands on Snowflake and must able to do solutioning and lead the teamQualification8+ yrs. Of total experience in IT with experience in ETL/Data warehousingMust have 5+ years of relevant experience in solutioning a

We are looking for prospering Data Scientist for our Client, leader of global electronics repair and service provider to many of the world's largest tech, medtech, and telecom companies worldwide!Built on a foundation of executional excellence and innovation, Ivy Technology (Ivy) is a leading provider of aftermarket lifecycle solutions for electronic equipment. With approximately 4,000 employees across the globe, Ivy provides aftermarket repair and logisti

about the company.The hiring company is looking for self-starter and passionate Data engineer to join their expanding team and for the Data science-powered solutions.about the job.Develop and implement data warehouse architecture on AWSDesign and build data pipeline from internal and external data sourcesOptimise the performance of data pipelines and automate the data ingestionSupport data analyst/data scientist for the data science projectsskills & experi

Per conto di un nostro stimato cliente, società operante nel settore finance siamo alla ricerca di un Data Engineer. Il/la candidato/a si occuperà di:collaborare e comunicare in modo efficace con differenti cross-functional teams per definire e raccogliere i requisiti sui dati a supporto delle analisi in gestione al business:nel contesto DataWarehouses redigere le specifiche tecnico/funzionali a supporto del team di svilupponel contesto DataLake [BigQuery

Cégleírás / Organisation/DepartmentYou will become part of our Integral Planning & Control platform. We offer a dynamic and challenging position that provides opportunities to grow and enable impact across our Client's organization. You will be working with highly skilled, motivated people, and you will be part of the broader Software Engineering community at our Client that organizes lectures, informationsessions, hackathons and more. Your chair is booked

Job Summary This is a Senior Data Engineer role with the following main responsibilities: • Understand the overall domain architecture and manage changes within them • Understand the applications within the domain and become knowledgeable on them • Have proficiency in ETL job process related to EDM platform • Develop big data analytic programs by using Hadoop framework • Able to work independently, self-enabled & motivated personality. • Use the Escalation

社名社名非公開職種データサイエンティスト業務内容Data Engineering focus, conversational Japanese sufficientInternational data team in Japan and mobile working styleDigital Transformation and Connectivity求められる経験• Experience in Python, SQL, Pysparks or Databricks• 5+ years of experience in big data as engineer• 3+ years of experience working with Microsoft Azure Analytics- Experience in the development and maintenance of distributed data pipelines for ETL.* Fluent in English, Japane

Sie sind Techniker oder Ingenieur und haben Spaß an Automatisierung? Sie können Daten verarbeiten und visualisieren?  Prozess- und Anlagenbetreuung sind für Sie nichts Neues und wollen bei einem weltweiten Unternehmen arbeiten? Unser Mandant ist mit über 7000 Mitarbeitern weltweit der größte selbständige Konstrukteur und Hersteller von Energiesteuerunglösungen für Flugzeug- und Industriemotoren, Turbinen und Energieerzeugungsanlagen. Am Standort in Sachsen

社名社名非公開職種システム開発（組み込み・ファームウェア・制御系）業務内容▼データ基盤についてID-POS,アプリデータ, 広告接触データ, 店頭データなどの各種各小売データを集約、活用するためのデータ基盤を構築、運用しています。GCP上で以下のサービスを利用して構築しています。(*第三者提供許諾に準拠したした形で適正にお預かりしてデータになります)・BigQuery・Cloud Composer・Cloud Storage・Cloud Run・Dataflow・dbt　　　　etc▼具体的な業務内容・GCP(BigQuery)を活用したデータのETL開発・社内外に向けたデータマートやアクセス環境の構築・開発チームのリードやコードレビュー求められる経験データエンジニアとして、リテールテック事業におけるデータシステムの開発・運用に携わっていただきます。現状ドラッグストアを主顧客とした多岐に渡る小売データを集約・活用するためのシステム基盤を構築しており、今後のデータの量・質、活用ケースの拡大に合わせた技術投資を

社名社名非公開職種データサイエンティスト業務内容Data Engineering focus, conversational Japanese sufficientInternational data team in Japan and mobile working styleDigital Transformation and Connectivity求められる経験• Experience in Python, SQL, Pysparks or Databricks• 5+ years of experience in big data as an engineer• 3+ years of experience working with Microsoft Azure Analytics- Experience in the development and maintenance of distributed data pipelines for ETL.* Fluent in English and

社名社名非公開職種システム開発（組み込み・ファームウェア・制御系）業務内容事業が好調なため国内最大級になりえるSaaS事業に携わることができるあらゆる角度からデータに向き合うインパクトの大きい分析基盤に携われる求められる経験■必須経験・プログラミング言語を用いた開発経験（3年以上）・AWS、GCPいずれかでマネージドサービスを用いた構築、運用経験（3年以上）・データ分析もしくはログ基盤の構築、運用経験・データマネジメントに関する理解と経験・社内外の関係者とコミュニケーションをとりながらプロジェクト推進できる方保険健康保険,厚生年金保険,雇用保険,労災保険待遇・福利厚生休憩室.休日休暇日曜日,土曜日,祝日.給与年収900 ～ 1,500万円賞与.

社名社名非公開職種データサイエンティスト業務内容...求められる経験・3+ years of experience in data engineering・Proven/hands-on experience with data modeling tools and technologies・Strong proficiency in SQL and scripting languages (preferebaly Python), etc.,保険健康保険　厚生年金保険　雇用保険休日休暇土曜日　日曜日　祝日給与年収600 ～ 900万円賞与Yes雇用期間期間の定めなし

社名社名非公開職種データサイエンティスト業務内容• Build and manage data modeling for structural, semi-structured and non-structured data.• Build frameworks and tools (Python, Pyspark, SQL, Databricks) for data processing and modeling• Develop and maintain distributed data pipelines for ETL求められる経験• Experience in Databricks, Pyspark, SQL or Databricks• 5+ years of experience in big data as engineer• 3+ years of experience working with Microsoft Azure Analytics保険健康保険,厚生年金保険,介護保険,雇用保

社名社名非公開職種データサイエンティスト業務内容Take full ownership of the Data Product/ PlatformWork with Global counterpartsGrowing team with career advancement opportunities求められる経験Japanese - Strong business (N2+) to Fluent | Native LevelEnglish - Business levelHands on with Analytics especially Python codingHands on with Data engineer (Cloud platform & ETL)Team Lead, Project lead, or People management experience保険健康保険　厚生年金保険　雇用保険休日休暇土曜日　日曜日　祝日給与年収1,300 ～ 2,000万円賞与-雇用期間期間の定めなし

# Opporutnity to work in a leading team# diversified culture# good learning & growth opportunitiesabout the companyOur client is a leading oil & gas organization. about the jobDesign, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.Identify and implement data quality monit