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AREYOUREADYtostepuptothe Newandtakeyourtechnologyexpertisetothenextlevel?
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.
Technology is one of four services–the others are Strategy and Consulting, Interactive and Operations.
WORK YOU’LL DO
As a Azure Data Engineer, you will work closely with our clients in a cross-functional team responsible for the delivery of large-scale Cloud DWH/BI solutions to support their operational, tactical and strategic reporting as well as other analytical business needs. You will participate in the end-to-end delivery lifecycle of such projects from business requirements gathering to solution design, development, testing and roll-out.
Responsibilities:
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Participate in workshops with client’s stakeholders to validate business requirements & functional specifications.
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Design & implement BI/DWH applications to cover the Business Intelligence & Reporting requirements of large organizations utilizing Cloud technology platforms
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Leverage data analysis skills to analyze business areas, understand source systems’ data and map them to DWH data model.
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Design, Build, Test and Deploy advanced ETL processes to move and transform enterprise data
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Participate in the definition of best practices, standards and optimization techniques to enhance the DWH/BI solutions.
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Lead development teams throughout the delivery of Cloud BI/DWH solutions (for experienced candidates)
WHO WE´RE LOOKING FOR?
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Bachelor’s degree in Computer Science, Information Systems, or equivalent field
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Knowledge of Data Management and Data Warehousing concepts (ETL, Staging/Target Area, OLAP, Dimensional Modelling, Data Marts etc.)
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Working experience and knowledge over Azure Data platforms (Data Factory, Synapse Analytics, Azure SQL DW, Data Lake, Analysis Services, etc.) and knowledge of Data Visualization tools (e.g. PowerBI, Tableau, Qlik)
For entry level candidates:
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Previous working experience of 1 - 3 years in DWH/BI projects preferably in the Banking or Insurance industry
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Advanced analytical abilities & problem-solving skills
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Ability to meet deadlines with high attention to detail and quality
For experienced candidates:
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Min. 4 years of working experience in DWH/BI projects preferably in the Banking or Insurance industry
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Strong communication and presentation skills
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Experience in leading small-scale teams
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Advanced analytical abilities & problem-solving skills and ability to meet deadlines with high attention to detail and quality
WHAT´S IN IT FOR YOU?
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Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
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Continuous hard and soft skills training & development through global platforms & local academy
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Career coaching and mentorship to help you manage your career and develop professionally
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Ongoing strengths and skills based evaluation process
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Various opportunities to develop your career across a spectrum of clients, industries and projects
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Diverse and inclusive culture
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Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)
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Under our Brain Regain initiative, extra relocation benefits may apply
To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.
# 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
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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Accenture 소개

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+
직원 수
Dublin
본사 위치
$139B
기업 가치
리뷰
3.6
9개 리뷰
워라밸
2.8
보상
3.5
문화
3.2
커리어
3.8
경영진
3.0
65%
친구에게 추천
장점
Good career growth and learning opportunities
Great culture and work environment
Challenging and interesting work
단점
High levels of politics
Long hours and stress
Slow moving processes
연봉 정보
20개 데이터
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0개 리포트
$63,830
총 연봉
기본급
$25,532
주식
$31,915
보너스
$6,383
$44,681
$82,979
면접 경험
6개 면접
난이도
2.8
/ 5
소요 기간
14-28주
합격률
17%
경험
긍정 0%
보통 67%
부정 33%
면접 과정
1
Application Review
2
Recruiter Screen
3
Cognitive Assessment
4
Technical Interview
5
Behavioral Assessment
6
Final Interview
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
Culture Fit
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