招聘
As part of Data & AI practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.
Key Responsibilities:
Assist in the development and optimization of scalable data pipelines and workflows in cloud environments.
Support senior data engineers and architects by gathering requirements and helping define robust data models and architecture.
Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.
Contribute to maintaining data quality, security, and governance standards across all data-related activities.
Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.
Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones
Associate/Bachelor’s degree in Computer Science, Engineering, or a related field.
Some experience or internships in data engineering or a related field, demonstrating foundational skills. Proficiency in SQL and experience with programming languages such as Python or Py Spark.
Understanding of data modeling concepts and databases/data warehouses (Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server or Big Query).
Familiarity with ETL tools such as (Data Factory, dbt, Airflow, Apache Nifi or Informatica).
Familiarity with cloud platforms (Azure, AWS, or GCP).
Good analytical skills and a problem-solving mindset.
Ability to collaborate in multinational environments.
Willingness to travel and proficiency in English.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
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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