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Snowflake 数据工程师(远程,KA,IN)

Snowflake Data Engineer (Remote, KA, IN)

开发工程限定地区(需当地身份)
公司NTT DATA
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间9 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

雷克 ID:380945 NTT DATA 致力于聘请与我们一起成长的杰出,创新和热情人士。如果你想成为一个包容性,适应性和前性的组织的一部分,现在就申请。我们目前正在寻找雪花数据工程师加入我们的团队在远程,卡纳塔卡 (IN-KA),印度 (IN). "主要责任 •客户参与 & 交付 • 数据管道开发 ·雪花和云数据平台 • 数据架构 & 建模 • 合作 & 最佳实践 • 质量 & 治理业务关系 • 解决方案建筑师 • 数据工程师,开发人员和分析师 • 客户利益相关者至数据工程主管,数据架构师和 BI 领导层能力/关键技能重点能力• 在雪和云原产平台上数据工程和管道开发方面经验证明。• 有强大的咨询价值观,能够在面向客户的环境中有效合作。• 数据生命周期内的专业知识:摄入,转型,建模,治理和消费。• 具有强有力的解决问题,分析和沟通技巧。• 经历领导或指导工程师团队提供高质量的数据解决方案。技术专业知识 • 熟练掌握数据处理工具 (如 DBT,Matillion,Talend 或其等). • 强大的 SQL 和 Python (或同等语言)数据操纵和自动化技能。• 与云平台 (AWS,Azure,GCP) 的实践经验。• 对数据建模方法知识的了解 (星际方案,Data Vault,Kimball,Inmon). •对数据湖架构和分布式处理框架 (例如 Spark,Hadoop)的熟悉。• 使用版本控制工具 (GitHub,Bitbucket) 和 CI/CD 管道的体验。• 了解数据治理,安全和合规框架。经验,资格和教育 • 经验:至少58年数据工程,数据仓库或数据架构职位,至少3年以上与雪花合作。• 教育:大学学位要求。• 优先:计算机科学,数据工程或相关领域的 BSc/MSc;雪花认证 (SnowPro Core,高级)是非常可期望的。成功措施 • 与客户需求相一致的高性能,可扩展性和数据管道提供。• 高安全客户满意度和成功采用基于雪花解决方案。

查看英文原文

Req ID:380945
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Snowflake Data Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).
"Primary Responsibilities
• Client Engagement & Delivery
• Data Pipeline Development

  • Snowflake & Cloud Data Platforms
  • • Data Architecture & Modelling
  • • Collaboration & Best Practices
  • • Quality & Governance
  • Business Relationships
  • • Solution Architects
  • • Data Engineers, Developers, and Analysts
  • • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels
  • Competencies / Critical Skills
  • Key Competencies
  • • Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
  • • Strong consulting values with ability to collaborate effectively in client-facing environments.
  • • Expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
  • • Strong problem-solving, analytical, and communication skills.
  • • Experience leading or mentoring teams of engineers in delivering high-quality data solutions.
  • Technical Expertise
  • • Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
  • • Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
  • • Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
  • • Hands-on experience with cloud platforms (AWS, Azure, GCP).
  • • Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
  • • Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
  • • Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
  • • Understanding of data governance, security, and compliance frameworks.
  • Experience, Qualifications, and Education
  • • Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
  • • Education: University degree required.
  • • Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certifications (SnowPro Core, Advanced) highly desirable.
  • Measures of Success
  • • Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
  • • High client satisfaction and successful adoption of Snowflake-based solutions.
  • • Demonstrated ability to innovate and improve data engineering practices.
  • • Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership. "

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Originally posted on Himalayas

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