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Open nowFirst seen 42 hours ago

Data Engineer

Second Talent182 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowData EngineerSecond Talent · Kuala Lumpur, Malaysia

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 42 hours ago

The posting

Job Title: Data Engineer

Job Type: Full-time, Permanent

About the Opportunity

Our client, a dynamic multinational company, is establishing a new global data engineering team to champion their diverse digital initiatives and large-scale data projects. This is a ground-floor opportunity to join a creative, motivated, and results-driven team in a role that offers a fantastic work-life balance.

This position is crucial for building and scaling the company's data analytics capabilities. They are seeking a talented Data Engineer who is passionate about data and enjoys collaborating in a fun, high-impact environment.

Key Benefits & Perks

  • Work-Life Balance: Hybrid work model (2 days work-from-home) and flexible shifts (e.g., 8:00-4:30, 9:00-5:30, 10:00-6:30).
  • Compensation: Competitive salary, double pay, performance bonus, and overtime pay.
  • Leave: Generous 14-20 days of annual leave.
  • Health: Comprehensive medical, dental, and life insurance.
  • Work Week: Standard five-day work week.

Core Responsibilities

  • Architect, implement, and maintain the company's core data platform and innovative data solutions.
  • Design, construct, and automate robust, modern data pipelines and real-time data streams.
  • Develop and manage data models and schemas to facilitate efficient data integration and analysis.
  • Proactively monitor, optimize, and troubleshoot ETL/ELT processes, identifying and implementing improvements to enhance performance and efficiency.
  • Collaborate closely with data analysts, data stewards, and business stakeholders to translate functional requirements into technical specifications.
  • Ensure high data quality and accuracy by performing rigorous data profiling, cleansing, and validation.
  • Evaluate the performance and suitability of new data tools and technologies against business requirements.
  • Contribute to related data initiatives, including data quality improvements and data education programs.

Required Qualifications

  • Degree holder in Computer Science, Information Technology, or a relevant discipline.
  • A minimum of 3 years of dedicated experience in data engineering.
  • Expert-level proficiency in SQL is mandatory.
  • Hands-on experience with Azure Databricks or Azure Synapse.
  • Strong programming skills in a data-focused language (e.g., PySpark, Python, R, Java, Scala).
  • Proven experience designing and deploying data applications on cloud solutions, specifically Azure.
  • Excellent problem-solving skills and a strong data-driven mindset.
  • Self-motivated, with the ability to work independently and as part of a collaborative team.
  • Good communication skills in both written and spoken English.
  • Willingness to travel as needed.

Preferred Qualifications (Advantages)

  • Professional certification, such as Azure Data Engineer Associate.
  • Knowledge of the wider Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Event Hub) or Power BI.
  • Experience in performance tuning and code optimization within Azure Databricks or Synapse.
  • Experience preparing data for data science and machine learning models.
  • Familiarity with DataOps principles.
  • Prior experience working as part of a distributed global team.

How to Apply

To apply for this exciting opportunity, please submit your detailed resume for review.

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