Data Engineer

Info Terbaru Seputar Pekerjaan dari Perusahaan AsiaQuest Indonesia sebagai posisi Data Engineer. Jika Lowongan Kerja Sales di Indonesia ini sesuai dengan kriteria anda silahkan langsung mengirimkan lamaran / CV Terbaru anda melalui situs loker terkini dan terupdate Lokerindo.ID

Setiap pekerjaan mungkn tidak lah mudah untuk di lamar, karena sebagai kandidat baru / calon pegawai harus memenuhi beberapa kualifikasi dan persyaratan sesuai dengan kriteria yang dicari dari Perusahaan tersebut. Semoga info karir dari AsiaQuest Indonesia sebagai posisi Data Engineer dibawah ini sesuai dengan Kualifikasi anda.

Saturdays Sundays and Public Holiday Majoring in IT max 35 years old Have at least 3 years of professional experience in Data Science Data Analytics ...

Location

Jakarta:
Tamansari Parama Boutique Office, Jl. K.H. Wahid Hasyim No.84-88, RT.15/RW.3, Kb. Sirih, Kec. Menteng

Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10340

Yogyakarta:
Jl. Pringgodani, Jl. Demangan Baru Jl. Mrican Baru No.19, Caturtunggal, Kec. Depok, Kabupaten Sleman

Daerah Istimewa Yogyakarta 55281

Working Hours

9:00 WIB 〜 18:00 WIB

Rest day

Saturdays, Sundays and Public Holiday

Benefits

– Hybrid working style

– Income tax paid by company

– Many types of allowance (birthday allowance, perfect attendance allowance, etc)

– BPJS

– Annual medical checkup

– Bi-monthly company gathering

– Annual Gathering

As a fast-growing software development company in Indonesia, we look for the best talent! We provide opportunities for both experienced and inexperienced professionals with strong motivation and willingness to learn continuously in a fast-paced environment. We will challenge you to improve your skills and abilities through several low to the high-level task force. You can start to pursue your career in our branch offices spread throughout Asia, including Jakarta, Yogyakarta, Kuala Lumpur, and Tokyo.

Job Title

Data Engineer

Field

Software Development

Job Description

[Middle-Senior] Data Engineer

Requirements:
Majoring in IT, max 35 years old.

Have at least 3+ years of professional experience in Data Science, Data Analytics, Business Analytics, or related field working with data

Unafraid to deal with large, dirty, and messy data and can create ETL to clean and make the data workable – Amazing problem solver (e.g., RapidMiner)

Strong problem solving, quantitative, and analytical skills

Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems

Expected to have strong leadership skills and the ability to mentor and guide junior team members. Collaborating effectively with cross-functional teams and leading data science initiatives are valuable attributes.

Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams

Proficiency in programming is a must, especially in languages like Python or R. You should be able to master and utilize various data science libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark. Experience in software development and an understanding of software engineering principles are also appreciated.

Knowledgeable in SQL, data visualization using tools like Tableau

Past participation in science Olympiad or Kaggle is a plus

Willing to be placed in Jakarta or other company office including project on client side

Job Desk:
Data mining or extracting data from trusted and valuable data sources

Using machine learning tools to select features, create and optimize classifiers

Carrying out preprocessing of structured and unstructured data

Automate the data collection that include all relevant data

Develop analytics system to process the collected data

Processing, cleansing, and validating the data

Analyzing large amounts of information to find patterns and solutions

Developing prediction systems and machine learning algorithms

Presenting results with valid data visualizations

Propose solutions and strategies to overcome the business challenges or helping the business enhancement

Collaborate with Business and IT Departments

Location

Indonesia

Salary Range

Education

Experience

Language Proficiency

Recruitment Flow

1

Entry Form

To apply, please complete required information in the entry form. You are also required to submit your resume for reference.

2

Document Screening

A screening based on the information entered in the form and the documents submitted will be conducted. We will notify you of the screening result through email or telephone within one week from the date of application.

3

Interview

You may be required to attend 2~3 interviews. The interviewers shall include a human resource representative and a local manager. Working experience and technical skills applicable to AQI services are among the contents of the interview.

4

Final Result

Selected candidate will be notified through email or telephone.

Informasi Tambahan :

  • Perusahaan : AsiaQuest Indonesia
  • Posisi : Data Engineer
  • Lokasi : Indonesia
  • Negara : ID

Cara Mengirimkan Lamaran :

Setelah Membaca dan telah mengetahui kriteria dan kebutuhan minimum kualifikasi yang telah dijelaskan dari info pekerjaan Data Engineer di kota Indonesia diatas dengan demikian jobseeker yang merasa belum memenuhi persyaratan meliputi pendidikan, umur, dll dan memang merasa berminat dengan lowongan kerja terbaru Data Engineer, pada bulan ini 2024 diatas, hendaknya secepatnya untuk melengkapi dan menyusun berkas lamaran kerja seperti surat lamaran kerja, CV atau daftar riwayat hidup, FC ijazah dan transkrip dan pelengkap lainnya seperti yang telah dijelaskan diatas, guna mendaftar dan mengikuti seleksi masuk penerimaan pegawai baru diperusahaan yang dimaksud, dikirim melalui link Halaman Selanjutnya di bawah ini.

Proses Selanjutnya

Perhatian - Dalam proses rekrutmen, perusahaan yang sah tidak pernah menarik biaya dari kandidat. Jika ada perusahaan yang menarik biaya wawancara, tes, reservasi tiket, dll hindari karena ada indikasi penipuan. Jika Anda melihat sesuatu yang mencurigakan, silakan hubungi kami: support@lokerindo.id

Tanggal Tayang : 26-04-2024