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[SK] Data Engineer | Ara Damansara

RM 10,000 - RM 10,000 / month

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Role : Data Engineer

Location : Ara Damansara, Kuala Lumpur

Salary : RM 10,000.00

Working Days: 5 days

Job Description

  • Designing, building, and maintaining data pipelines to extract, transform, and load data from various sources (e.g. web scrapping, APIs, flat files) into a central data storage
  • Implementing data quality checks and monitoring processes to ensure the accuracy and completeness of the data
  • Collaborating with data analysts and data scientists to understand their data needs and to provide them with the data they need to do their jobs effectively
  • Writing and maintaining documentation for data pipelines and processes
  • Investigating and fixing issues with data pipelines and processes
  • Participating in the design and implementation of data governance policies and procedures
  • Keeping up-to-date with the latest developments and best practices in data engineering
  • The ideal candidate for this role will have strong technical skills in programming (e.g. Python, SQL) and data processing technologies. They should also be able to work well in a team, be able to communicate effectively with both technical and non-technical stakeholders, and be comfortable working in a fast-paced, constantly evolving environment.

Job Requirements:

  • A bachelor or master's degree in a relevant field, such as computer science, data science, or engineering.
  • Proficiency in programming languages such as Python. Experience with SQL and database technologies (e.g., MySQL, PostgreSQL) is also highly valuable.
  • Experience with data processing technologies.
  • Familiarity with data management and the ability to design and maintain data pipelines on Internal server.
  • Strong problem-solving and analytical skills, with the ability to troubleshoot and debug issues with data pipelines.
  • Minimum of 4 years of hands-on experience in a relevant field.

Job Type: Full-time

Pay: Up to RM10,000.00 per month

Benefits:

  • Opportunities for promotion
  • Professional development

Schedule:

  • Monday to Friday

Experience:

  • databases (Design and Architecture): 4 years (Preferred)
  • data processing technologies: 4 years (Preferred)
  • Python and SQL: 4 years (Preferred)