Data Engineer (Remote)

The Elitejob; George Town; Remote; MYR 60,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Annual bonus

Health benefits

Paid time off

Training programs

Inclusive culture

Job summary

The Elite Job is seeking a highly skilled Data Engineer (Remote) to design, build and optimize scalable data pipelines and data architectures. You will collaborate with cross-functional teams to enable advanced analytics, BI, and secure data platforms across the organization.

Responsibilities include ETL development, data modeling, and ensuring data quality, governance, and performance. This fully remote role offers flexibility and opportunities to work with diverse global teams.

Qualifications

• Bachelor's degree in CS/IT or related field.
• Proficiency in SQL and Python/Scala/Java.
• Experience building ETL pipelines with Airflow, Spark, Kafka.
• Familiarity with cloud data platforms (AWS, GCP, Azure).
• Experience with data modeling and data warehousing.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines and data integration workflows from various sources.
• Build and optimize data systems and architecture to support business operations and analytical needs.
• Collaborate with data scientists, analysts, and software engineers to support data initiatives and deliver high-quality solutions.
• Create and maintain documentation related to data models, data dictionaries, and workflows.
• Implement best practices for data security, integrity, and compliance.
• Monitor and troubleshoot issues within data pipelines and improve system performance.
• Automate data processes and optimize workflows for efficiency and scalability.

Skills

SQL

Python/Scala/Java

ETL pipelines

Cloud platforms (AWS/GCP/Azure)

Data modeling

Education

Bachelor's degree in CS/IT/Data Engineering

Tools

Apache Airflow

Apache Spark

Kafka

AWS

GCP

Azure

Job description

Job Summary

The Elite Job is looking for a highly skilled and detail-oriented Data Engineer (Remote) to join our dynamic and growing team. This role is essential in building and optimizing our data pipelines and data architecture to support advanced analytics, business intelligence, and scalable data solutions. As a Data Engineer, you will collaborate with cross-functional teams to design, develop, and maintain robust data infrastructure that ensures the integrity, availability, and security of critical data assets across the company.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines and data integration workflows from various internal and external sources.

• Build and optimize data systems and architecture to support business operations and analytical needs.

• Collaborate with data scientists, analysts, and software engineers to support data-related initiatives and ensure delivery of high-quality solutions.

• Create and maintain documentation related to data models, data dictionaries, and workflow processes.

• Implement best practices for data security, integrity, and compliance.

• Monitor and troubleshoot issues within the data pipelines and proactively improve system performance.

• Automate manual data processes and continuously optimize workflows for efficiency and scalability.

Required Skills and Qualifications

• Bachelors degree in Computer Science, Data Engineering, Information Technology, or a related field.

• Proficiency in SQL and at least one programming language such as Python, Scala, or Java.

• Strong experience in building and maintaining data pipelines using tools like Apache Airflow, Apache Spark, Kafka, or similar.

• Familiarity with cloud data platforms such as AWS (Redshift, S3, Glue), Google Cloud Platform, or Azure.

• Experience with data modeling, data warehousing, and performance tuning.

• Solid understanding of relational and non-relational databases.

• Excellent problem-solving skills and attention to detail.

Experience

• 2+ years of professional experience in a data engineering or similar role.

• Proven track record in handling large-scale data processing and cloud-based data ecosystems.

• Experience working in an Agile environment is a plus.

Working Hours

• Flexible working hours with core collaboration time between 10:00 AM – 4:00 PM (your local time).

• Fully remote – work from anywhere in the world with reliable internet access.

Knowledge, Skills, and Abilities

• Strong analytical thinking and the ability to translate business requirements into technical solutions.

• Excellent communication skills, both verbal and written.

• Ability to work independently with minimal supervision and collaboratively in a team environment.

• Proactive attitude towards learning new technologies and solving complex data challenges.

Benefits

• Competitive salary based on experience and location.

• Flexible remote working environment.

• Annual performance bonuses.

• Health, dental, and vision insurance (region-specific).

• Paid time off, sick leave, and holidays.

• Access to ongoing training and professional development courses.

• Inclusive and supportive team culture that values innovation and integrity.

Why Join The Elite Job?

At The Elite Job, we believe in empowering our team to do their best work from wherever they are. We prioritize flexibility, innovation, and career growth. Our team thrives on collaboration, creativity, and solving real-world data challenges. If you are passionate about data engineering and want to be part of a future-focused company where your work makes a direct impact — we want to hear from you.