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Data Engineer

AIS · Mobile Networks · Broadband · Python · SQL · ETL/ELT · 1 hour ago
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Location
In office (Bangkok)
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. AIS scores B on the Alion truth index.

Overview
Company
Impact
Profile match

AIS

AIS (Advanced Info Service) is a Thai telecommunications company and the largest mobile network operator in Thailand by subscribers, providing mobile, fixed broadband and enterprise connectivity services. It also offers cloud, data centre, cybersecurity, digital entertainment and payment services to consumers and businesses, and is listed on the Stock Exchange of Thailand. The company is headquartered in Bangkok, Thailand.
ais.th · HQ: Bangkok, Thailand · Broadband · Mobile Networks · 1001-5000 employees · Est. 1986
Tech stack of AIS

Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.

We are looking for potential candidates who are eager to learn and grow to join our young talent team.

Job Posting Location

Bangkok

Job Summary

Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing the data also including to enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.

Job Description

Responsibility

  • Excellent with database or data warehouse or ETL tools (Extract Transform and Load)technique and framework
  • Proficient in programming languages, Python and Spark for data engineering
  • Experience using data frameworks, Hadoop platform, Spark for big data processing and Kafka
  • Knowledge and skills in using Apache Hadoop, Cloudera and Azure Cloud,
  • Understanding of big data and cloud architecture
  • Ability to work with data scientist in advanced analytics for preparing or discovering business insights on focus the business strategies.

Qualification

  • At least 1-5 years experience in big data technology, data engineering, data analytic application system development
  • Have an experience of unstructured data for business Intelligence or computer science would be advantage
  • Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming
  • Soft skill in analytical, decision making, communication and presentation skill

Recruiter

Suphapitch Jarajteerapoj (ศุภาพิชญ์ จรัสธีรพจน์)
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