招聘
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Cognitive Engineering
Key Responsibilities:
Snowflake Architecture & Engineering:
- Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access.
- Lead end-to-end implementation of solutions using Snowflake’s latest features.
- Develop reusable frameworks, UDFs, and components using Snowpark or SQL scripting.
- Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools.
- Establish data governance, security models, RBAC, and masking policies in line with compliance standards.
- Conduct performance tuning, workload monitoring, and optimization.
GenAI:
- Enable GenAI use cases leveraging Snowflake’s native capabilities
- Implement Cortex AI features with custom workflows and business logic
Required Qualifications and Certifications:
- 3+ years of experience as a Snowflake Lead or Data Engineer.
- Good command of Snowflake internals, including performance tuning, clustering, caching.
- Good Knowledge of SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP).
- Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI etc.
- Good communication skills with the ability to bridge technical and business discussions.
- Certifications: Snow Pro Core Certified.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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关于Accenture

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
员工数
Dublin
总部位置
$139B
企业估值
评价
3.6
9条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.2
职业发展
3.8
管理层
3.0
65%
推荐给朋友
优点
Good career growth and learning opportunities
Great culture and work environment
Challenging and interesting work
缺点
High levels of politics
Long hours and stress
Slow moving processes
薪资范围
20个数据点
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0份报告
$63,830
年薪总额
基本工资
$25,532
股票
$31,915
奖金
$6,383
$44,681
$82,979
面试经验
6次面试
难度
2.8
/ 5
时长
14-28周
录用率
17%
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Recruiter Screen
3
Cognitive Assessment
4
Technical Interview
5
Behavioral Assessment
6
Final Interview
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
Culture Fit
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