招聘
Skill required:
Data Management
- Microsoft Azure Databricks
Designation:
Data Eng, Mgmt & Governance Specialist
Qualifications:
BE/BTech
Years of Experience:
7 to 11 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.
Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.
Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. We are looking for a Senior Data Engineer with 7+ years of experience in Databricks for complex queries on transformation, aggregation, business logic implementation aggregation, business logic implementation. For this role candidate must be able to understand the current data platform landscape & tools and work closely with data modeller. An interactive workspace that combines data gathering to model creation, use Databricks Notebooks to unify the process and instantly deploy to production. Integrates with a wide variety of data stores and services such as Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Store, Azure Blob storage, Azure Event Hubs, Azure IoT Hub, and Azure Data Factory.
What are we looking for? • Databricks for complex queries on transformation, aggregation, business logic implementation aggregation, business logic implementation • AWS Redshift and Redshift spectrum, for complex queries on transformation, aggregation, business logic implementation • DWH Concept on star schema, Materialize view concept • Strong SQL and data manipulation/transformation skills • Problem-solving skills • Prioritization of workload • Strong analytical skills • Adaptable and flexible • Ability to work well in a team • Experience of ETL/Data warehousing/Data integration/Data Lake • Data engineering end to end experience – e.g., Data ingestion, cleansing, harmonization/integration, quality, security, etc • Experience in working Databricks, Python/Py Spark scripts and understanding of Spark • Maintain the code repos, and version control of codes, terraform knowledge • Experience working in a geographically disparate team
Roles and Responsibilities:
- Identifying data sources, both internal and external, and ingest the data to the platform in automated way with all standard ways-of-working • Coordinating and collaborating with data-modeller, stakeholders, and vendors for the smooth functioning of the enterprise data warehouse EDW • Managing end-to-end data flow, from ingestion, data engineering in data vault, maintain code repos, and developing the application to finally testing and implementing the proposed solution • Ensuring that all testing requirements as well as all test data are well-prepared and documented
BE,BTech
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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