Data Engineer

BTI Executive Search; Shah Alam; On-site; MYR 60,000 - 80,000; Full time

Job summary

A recruitment agency in Shah Alam, Malaysia, is seeking a Data Engineer to develop and maintain data pipelines, implement ETL processes, and ensure data quality. The ideal candidate will have a Bachelor's degree in Computer Science, proven experience in data engineering, and proficiency in programming languages like Python. Familiarity with cloud platforms and data integration tools is essential. Strong analytical and communication skills are also required for this role.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Proven experience in data engineering and ETL processes.
• Proficiency in programming languages, especially Python.
• Knowledge of data integration tools and databases.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Attention to detail and a commitment to quality.

Responsibilities

• Develop and maintain data pipelines for data management.
• Create and manage data models, schemas, and architecture.
• Implement ETL processes for data handling.
• Integrate data from various sources for seamless flow.
• Administer and optimize database systems for performance.
• Ensure data accuracy and completeness through quality checks.
• Document data pipelines, schemas, and processes comprehensively.
• Identify and resolve performance bottlenecks in workflows.
• Implement security measures and compliance standards.
• Collaborate with teams to understand data requirements.

Skills

Data engineering

ETL processes

Python

Data integration tools

Cloud platforms (AWS, Azure, GCP)

Problem-solving

Analytical skills

Communication skills

Collaboration skills

Attention to detail

Education

Bachelor's degree in Computer Science or related field

Master's degree

Job description

Responsibilities

• Develop and maintain data pipelines for data collection, transformation, and storage.
• Create and manage data models, schemas, and architecture.
• Implement ETL processes to extract, transform, and load data.
• Integrate data from various sources for seamless data flow.
• Administer and optimize database systems for performance and security.
• Ensure data accuracy and completeness through quality checks.
• Document data pipelines, schemas, and processes comprehensively.
• Identify and resolve performance bottlenecks in data workflows.
• Implement data security measures and compliance standards.
• Collaborate with cross-functional teams to understand data requirements.

Requirements

• Bachelor's degree in Computer Science or related field (Master's is a plus).
• Proven experience in data engineering and ETL processes.
• Proficiency in programming languages (e.g., Python).
• Knowledge of data integration tools and databases.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Attention to detail and a commitment to quality.

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