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Apache Kafka Data Engineer Entry Level

Accenture Southeast Asia

Kota Semarang
On-site
IDR 498,007,000 - 830,014,000
Yesterday
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Data Entry Personal

PT Permai Nusa Indah

Banyuwangi
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Operator Produksi

PT Permai Nusa Indah

Makassar
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Finance Treasury & PO Processing Lead

PT Link Net

Banten
On-site
IDR 300,000,000 - 400,000,000
Yesterday
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PPIC and warehouse supervisor

Dorskin_id

Tangerang
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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TikTok Shop by Tokopedia - Program Manager (Creator and Content Governance)

TIKTOK PTE LTD (TIKTOK)

Jakarta Utara
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Associate Manager, Sales Account Management (Modern trade channel development)

PT SC Johnson And Son Indonesia

Jakarta Utara
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Business Representative

ASSA Rent (Jakarta)

Pluit
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Country Financial Planning & Analyst Manager

PT NS Bluescope Lysaght Indonesia

Jakarta Utara
On-site
IDR 300,000,000 - 400,000,000
Yesterday
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Mortgage Sales Specialist

PT. BFI FINANCE INDONESIA, Tbk

Banten
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Butler Manager - Andaz Bali

ANdAZ

Provinsi Bali
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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HSE Supervisor

PT Indofood CBP Sukses Makmur Tbk - Noodle Division

Tangerang
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Business Consulting - Junior Consultant of Finance

EY

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Training & Development Lead

WireHire

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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TikTok Shop by Tokopedia - Category Strategist Leader, Fashion (Indonesia)

TIKTOK PTE LTD (TIKTOK)

Jakarta Utara
On-site
IDR 498,007,000 - 996,016,000
Yesterday
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Data Entry Personal

PT Permai Nusa Indah

Kota Cimahi
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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CIVIL ENGINEER (JABODETABEK)

PT Novell Pharmaceutical Laboratories

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Warehouse Staff (Staf Gudang)

PT. INDO BANGUN GROUP

Kendari
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Double Six Luxury Hotel Seminyak

LokerHotelier.com - Lowongan Kerja Hotel, Resort, Villa, Restaurant, Spa & Gym

Provinsi Bali
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Human Resources Business Partner

PT Indepay Indonesia Digital

Cipulir
On-site
IDR 996,015,000 - 1,660,027,000
Yesterday
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Quality Assurance Analyst

Oceaneering

Batam
On-site
IDR 100,000,000 - 200,000,000
Yesterday
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Loker Jakarta untuk wanita

Mayora group

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Director - Policy & Compliance

WireHire

Jakarta Utara
On-site
IDR 300,000,000 - 400,000,000
Yesterday
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Chief of Talent Officer

WireHire

Jakarta Utara
On-site
IDR 450,000,000 - 550,000,000
Yesterday
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Recreation Attendant25160936

JW Marriott

Jakarta Utara
On-site
IDR 12,000,000 - 100,000,000
Yesterday
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Apache Kafka Data Engineer Entry Level
Accenture Southeast Asia
Kota Semarang
On-site
IDR 498.007.000 - 830.014.000
Full time
Yesterday
Be an early applicant

Job summary

A global professional services company in Indonesia is seeking a Data Engineer to support data requirements, analyze data, and develop end-to-end data pipelines. Ideal candidates will have a Bachelor's degree in Computer Science or related fields and skills in Python, SQL, and data visualization tools like Power BI. Opportunities for training and skill specialization are provided.

Benefits

Formal and informal training programs
Equal opportunities employer

Qualifications

  • Relevant experience in Data Engineering fields (new graduates welcome).
  • Basic knowledge in Data Lake/Data Warehousing/Big data tools.
  • Experience working in a client-facing/consulting environment is a plus.

Responsibilities

  • Work across workstreams to support data requirements including reports and dashboards.
  • Analyze and perform data profiling to understand data patterns and discrepancies.
  • Design and develop the E2E Data Pipeline for large-scale applications.

Skills

Python
SQL
Spark
Azure
Power BI
Data Visualization
API
Data Analysis

Education

Bachelor’s degree in Computer Science or related fields

Tools

Databricks
Data Factory
Job description

About Accenture
Absoluteure 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 775,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song.

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
  • Relevant 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

You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster.

Absoluteure is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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