Data Engineer

Abhidi Solution

Kuala Lumpur

On-site

MYR 90,000 - 140,000

Full time

4 days ago
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Job summary

Jora Malaysia is seeking a Data Engineer with strong experience in Big Data platforms, Python, Spark, SQL, Linux and DevOps to design, develop and maintain scalable data engineering solutions.

You will design pipelines, write and optimize SQL queries, perform Linux scripting, support orchestration, and collaborate with cross‑functional teams to deliver reliable data processing and platform integration.

Qualifications

  • Experience designing, developing, and maintaining scalable data engineering solutions.
  • Strong experience with Big Data platforms, Python, Spark, SQL, Linux.
  • Familiarity with DevOps practices in data engineering environments.
  • Ability to collaborate with cross-functional teams to deliver reliable data solutions.

Responsibilities

  • Design, develop, and maintain Big Data platform solutions.
  • Develop scalable data processing solutions using Python and Spark.
  • Write, optimize, and manage SQL queries for efficient data processing.
  • Perform Linux and Shell scripting activities.
  • Support data engineering workflows, orchestration, and platform integration.
  • Troubleshoot and resolve data platform and processing issues.
  • Collaborate with technical and cross-functional teams to deliver scalable data solutions.

Skills

Big Data platforms
Python
Spark
SQL
Linux
DevOps
Shell scripting

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

  • We are looking for Data Engineers with strong experience in Big Data platforms, Python, Spark, SQL, Linux, and DevOps to design, develop, and maintain scalable data engineering solutions.
  • Design, develop, and maintain Big Data platform solutions.
  • Develop scalable data processing solutions using Python and Spark.
  • Write, optimize, and manage SQL queries for efficient data processing.
  • Perform Linux and Shell Scripting activities.
  • Support DevOps practices within data engineering environments.
  • Collaborate with technical and cross-functional teams to deliver scalable and reliable data solutions.
  • Troubleshoot and resolve data platform and processing issues.
  • Support data engineering workflows, orchestration, and platform integration.
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