Data Platform Engineer - Azure Databricks | Flexible Hours

Second Talent; Kuala Lumpur; Hybrid; MYR 100,000 - 140,000; Full time

Job summary

A leading data solutions company is looking for a Data Engineer in Kuala Lumpur to enhance their data analytics capabilities. The ideal candidate should have a degree in Computer Science and at least three years of experience in data engineering, particularly with Azure Databricks or Synapse. The role offers a flexible work schedule, work from home options, and various benefits including medical insurance and performance bonuses.

Benefits

Work from home (2 days)

Flexible working shifts

Performance bonus

Medical/dental/life insurance

14-20 days annual leave

Qualifications

• At least three years of experience in data engineering.
• Hands on experience in Azure Databricks or Synapse.
• Experience in designing and deploying data applications on cloud solutions.

Responsibilities

• Plan, implement and maintain the company's data platform and solutions.
• Design, build and automate modern data pipelines and data streams.
• Ensure data quality and accuracy by performing data profiling, data cleansing, and data validation.

Skills

SQL proficiency

Problem-solving skills

Data-driven thinking

Programming languages (PySpark, Python, R, Java, Scala)

Azure Databricks or Synapse

Good written and spoken English

Education

Degree in Computer Science, Information Technology, or relevant disciplines

Tools

Azure

Job description

A leading data solutions company is looking for a Data Engineer in Kuala Lumpur to enhance their data analytics capabilities. The ideal candidate should have a degree in Computer Science and at least three years of experience in data engineering, particularly with Azure Databricks or Synapse. The role offers a flexible work schedule, work from home options, and various benefits including medical insurance and performance bonuses.