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채용Accenture

Senior Apache Kafka Data Engineer

Accenture

Senior Apache Kafka Data Engineer

Accenture

Semarang

·

On-site

·

Full-time

·

3d ago

As a Data Engineer, you will:

Work across workstreams to support data requirements including reports and dashboards

Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes

Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications

Develop data pipeline automation using Azure technologies stack, Databricks, Data Factory

Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery

Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming

Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data

Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

We are looking for experience and qualifications in the following:

Bachelor’s degree in Computer Science, Computer Engineer, IT, or related fields

Minimum 2 years’ experience in Data Engineering fields (new graduates are also welcome for some of our job openings)

Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, Azure

Data Visualization skills: Power BI (or other visualization tools), DAX programming, API, Data Model, SQL, Story Telling and wireframe design

Business Analyst skills: business knowledge, data profiling, basic data model design, data analysis, requirement analysis, SQL programing

Basic knowledge in Data Lake/Data Warehousing/ Big data tools, Apache Spark, RDBMS and NoSQL, Knowledge Graph

Experience working in a client-facing/consulting environment is a plus

Team player, analytical and problem-solving skills

Good communication skills 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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Accenture 소개

Accenture

Accenture

Public

Accenture 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