Senior Data Engineer

Databricks; Kuala Lumpur; Hybrid; MYR 120,000 - 160,000; Full time

Job summary

A leading data analytics company is looking for a Senior Data Engineer in Kuala Lumpur. You'll manage and transform data, integrating with various systems and ensuring high-quality datasets for business use. The ideal candidate possesses over 5 years of experience, strong SQL skills, and familiarity with cloud data warehouses like Google BigQuery. A collaborative work environment with hybrid options is offered.

Benefits

Hybrid work arrangement

Professional growth opportunities

Supportive work environment

Qualifications

• 5+ years in similar roles.
• 2+ years in major RDBMS (MySQL, MSSQL).
• Experience with cloud data warehouses (preferably Google BigQuery).

Responsibilities

• Maintain and secure data in the data warehouse.
• Integrate data with internal and third-party systems.
• Build and maintain datasets for downstream consumption.

Skills

SQL proficiency

Data validation

Data integration

Analytical skills

Tools

MySQL

MSSQL

Google BigQuery

Pentaho

Apache Nifi

Job description

We are seeking a skilled Senior Data Engineer to manage, secure, and transform data from various systems into our data warehouse. The ideal candidate will facilitate data integration, ensure accuracy, and provide valuable datasets and reports tailored to business needs.

Key Responsibilities

• Maintain, back up, and secure data from multiple systems into the data warehouse.
• Integrate data with internal and third-party systems
• Build and maintain datasets for downstream consumptions
• Implement data validation, documentation, and monitoring to ensure high-quality and trustworthy datasets
• Validate and ensure the accuracy of all data
• Promote data engineering best practices, automation, and continuous improvement across projects and teams
• Deliver reports and updates to meet stakeholder requirements through analytics
• Perform other ad hoc tasks as needed.

Qualifications

Required:

Experience:

• More than 5 years of experience in similar roles and responsibilities
• Minimum of 2 years of experience in any major RDBMS, preferably:
• MySQL
• MSSQL
• At least 1 year of experience with cloud data warehouses, preferably Google BigQuery.

Technical Skills:

• Proficient in writing and debugging complex SQL queries.
• Strong understanding of partitioning, clustering, and indexing.
• Experience with ETL tools such as Pentaho,Apache Nifi, or similar.
• Strong analytical skills and attention to detail.

Nice to Have:

• Experience in Python programming.
• Familiarity with tools like Apache Airflow,dbt (Data Build Tools), or Kafka.
• Advanced knowledge of data analytics and management.
• Proficiency in optimizing queries in BigQuery.
• Deep understanding of Google Cloud Platform (GCP) infrastructure and APIs.
• Exposure to ML/AI workloads is a plus, but not required
• Bonus: Experience working with streaming/event-driven architectures and feature stores

Why Join Us?

Work on a wide range of real-world data projects, from traditional BI to modern data application

Shape cutting-edge LLM and AI initiatives by bridging data engineering and model development

Work in a collaborative and supportive environment that values learning, professional growth, and strong interpersonal connections

Benefit from a hybrid work arrangement, offering flexibility to balance your professional and personal life

Job Insights

Salary match Number of applicants Skills match

Application questions

1. Which of the following statements best describes your right to work in Malaysia?
2. How many years' experience do you have as a Data Engineer?
3. How many years' experience do you have using SQL queries?
4. Which of the following Relational Database Management Systems (RDBMS) are you experienced with?
5. How would you rate your Mandarin language skills?

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