招聘
Project Role :
Integration Engineer
Project Role Description :
Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements.
Must have skills :
Data Engineering
Good to have skills :
NA
Minimum 5 year(s) of experience is required
Educational Qualification :
15 years full time education
Role Summary:
As a Data Engineer, you will have deep technical knowledge across core components of a modern, modular, cloud-native data platform. You will take care of extraction data from source systems (SAP ERP / SAP IBP / Veeva / MES etc ) to S3 buckets (build the bronze data) and from S3 to Redshift to build our silver / golden data products ready to be consumed by business.
Key Responsibilities:
Implement robust, scalable data services in AWS using Glue, Redshift, Iceberg, Lambda, EMR, Step Functions, Apache Airflow, etc.
Develop infrastructure-as-code modules and support continuous delivery pipelines.
Collaborate on architectural proposals and ensure alignment with broader platform strategy.
Work together with the Product Manager to gather data requirements, understand business priorities, and translate them into technical specifications.
Partner with data scientists and domain engineers to enable governed self-service Data Management Capabilities.
Perform code reviews and contribute to team knowledge-sharing and documentation.
Minimum Qualifications:
5–8 years of experience in software or data engineering, preferably in cloud environments.
Proficiency in Python, SQL, and tools like dbt or Apache Spark.
Experience with AWS data stack (e.g., Glue Catalog, IAM, S3).
Solid understanding of CI/CD, DevOps, and IaC tools like Pulumi or Terraform.
Develop and manage ETL/ELT workflows to ingest data from multiple sources (structured, semi-structured, and unstructured).
Preferred Qualifications:
Exposure to data lakehouse and data mesh architectures.
Familiarity with data privacy and access control implementations (OAuth, RBAC).
Experience with AI/ML integration or supporting MLOps workflows.
AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Knowledge of Supply Chain, manufacturing and quality processes
15 years full time education
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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