Analyst II Data Engineering
DXC Technology
Analyst II Data Engineering
Job Description
Categories: Data Engineering, Information Technology, Software Development
Job Description:
Essential Job Functions: • Assist in data engineering tasks, including data processing, transformation, and integration. • Contribute to data pipeline development and maintenance activities. • Collaborate with team members on data-related projects to meet data requirements. • Support data quality assurance efforts and adhere to data standards. • Use data engineering tools and techniques to complete assigned tasks. • Learn from more experienced team members and seek opportunities for skill development. • Stay informed about emerging data engineering technologies and industry best practices. • Develop a strong foundation in data engineering fundamentals. Basic Qualifications: • Bachelor's degree in a relevant field or equivalent combination of education and experience • Typically, 1+ years of relevant work experience • Proficiencies in data engineering tools and technologies • A continuous learner that stays abreast with industry knowledge and technology Other Qualifications: • Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plusDXCテクノロジーでは、コミュニティの強いつながりが成功への鍵であると考えています。DXCのワークモデルは、対面でのコラボレーションを重視しつつ、社員の幸福度、生産性、個々の働き方、そして生活環境をサポートする柔軟性も提供しています。DXCは、誰もが活躍できるインクルーシブな環境づくりに尽力しています。
採用詐欺とは、架空の求人情報を求職者に提供する詐欺行為であり、通常は偽のウェブサイトや、企業を装った未承諾のメールなどのオンラインサービスを通じて行われます。これらのメールは、受信者に個人情報の提供や、違法な採用プロセスの一環として支払いを求めることがあります。DXCでは、ソーシャルメディアネットワークを通じて雇用のオファーを行うことはなく、採用プロセスのいかなる段階でも応募者に金銭や支払いを求めることはありません。また、求職者にIT機器やその他の設備の購入を当社の代理として依頼することもありません。採用詐欺に関する詳細はこちらをご覧ください。
Locations
- TOKYO, Japan
Salary
78,750 - 104,500 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Processingintermediate
- Data Transformationintermediate
- Data Integrationintermediate
- Data Pipeline Developmentintermediate
- Data Quality Assuranceintermediate
- Data Engineering Toolsintermediate
Required Qualifications
- Bachelor's degree in a relevant field or equivalent (degree)
- 1+ years of relevant work experience (experience)
- Proficiencies in data engineering tools and technologies (certification)
- Continuous learner with industry knowledge (experience)
Responsibilities
- Assist in data engineering tasks, including data processing, transformation, and integration
- Contribute to data pipeline development and maintenance activities
- Collaborate with team members on data-related projects to meet data requirements
- Support data quality assurance efforts and adhere to data standards
- Use data engineering tools and techniques to complete assigned tasks
- Learn from experienced team members and stay informed about emerging technologies
Benefits
- Health: Comprehensive health insurance plans supporting employee wellness
- Retirement: 401k matching contributions for long-term financial security
- Professional Development: Training opportunities and certifications support including Azure and AWS
- Work-Life Balance: Flexible hybrid work model emphasizing collaboration and individual needs
Tags & Categories
Answer 10 quick questions to check your fit for Analyst II Data Engineering @ DXC Technology.
Related Books and Jobs
Analyst II Data Engineering
DXC Technology
Analyst II Data Engineering
Job Description
Categories: Data Engineering, Information Technology, Software Development
Job Description:
Essential Job Functions: • Assist in data engineering tasks, including data processing, transformation, and integration. • Contribute to data pipeline development and maintenance activities. • Collaborate with team members on data-related projects to meet data requirements. • Support data quality assurance efforts and adhere to data standards. • Use data engineering tools and techniques to complete assigned tasks. • Learn from more experienced team members and seek opportunities for skill development. • Stay informed about emerging data engineering technologies and industry best practices. • Develop a strong foundation in data engineering fundamentals. Basic Qualifications: • Bachelor's degree in a relevant field or equivalent combination of education and experience • Typically, 1+ years of relevant work experience • Proficiencies in data engineering tools and technologies • A continuous learner that stays abreast with industry knowledge and technology Other Qualifications: • Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plusDXCテクノロジーでは、コミュニティの強いつながりが成功への鍵であると考えています。DXCのワークモデルは、対面でのコラボレーションを重視しつつ、社員の幸福度、生産性、個々の働き方、そして生活環境をサポートする柔軟性も提供しています。DXCは、誰もが活躍できるインクルーシブな環境づくりに尽力しています。
採用詐欺とは、架空の求人情報を求職者に提供する詐欺行為であり、通常は偽のウェブサイトや、企業を装った未承諾のメールなどのオンラインサービスを通じて行われます。これらのメールは、受信者に個人情報の提供や、違法な採用プロセスの一環として支払いを求めることがあります。DXCでは、ソーシャルメディアネットワークを通じて雇用のオファーを行うことはなく、採用プロセスのいかなる段階でも応募者に金銭や支払いを求めることはありません。また、求職者にIT機器やその他の設備の購入を当社の代理として依頼することもありません。採用詐欺に関する詳細はこちらをご覧ください。
Locations
- TOKYO, Japan
Salary
78,750 - 104,500 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Processingintermediate
- Data Transformationintermediate
- Data Integrationintermediate
- Data Pipeline Developmentintermediate
- Data Quality Assuranceintermediate
- Data Engineering Toolsintermediate
Required Qualifications
- Bachelor's degree in a relevant field or equivalent (degree)
- 1+ years of relevant work experience (experience)
- Proficiencies in data engineering tools and technologies (certification)
- Continuous learner with industry knowledge (experience)
Responsibilities
- Assist in data engineering tasks, including data processing, transformation, and integration
- Contribute to data pipeline development and maintenance activities
- Collaborate with team members on data-related projects to meet data requirements
- Support data quality assurance efforts and adhere to data standards
- Use data engineering tools and techniques to complete assigned tasks
- Learn from experienced team members and stay informed about emerging technologies
Benefits
- Health: Comprehensive health insurance plans supporting employee wellness
- Retirement: 401k matching contributions for long-term financial security
- Professional Development: Training opportunities and certifications support including Azure and AWS
- Work-Life Balance: Flexible hybrid work model emphasizing collaboration and individual needs
Tags & Categories
Answer 10 quick questions to check your fit for Analyst II Data Engineering @ DXC Technology.
Related Books and Jobs