Others

You will enjoy inpatient, outpatient, optical and dental, health screening, physiotherapy benefits!

Health 

You will get the chance to be sponsored for your education and professional membership fees! 

Education

One day off on your birthday! Laptop allowance will be provided for using your own laptop!

Lifestyle

Maternity and Paternity up to 100 days and 10 days respectively, Marriage leave benefits is provided too!

Family Focus

Work your way! Enjoy flexible working hours, casual dress code, and a day of WFH each week!

Flexibility

Involve Asia

<ul>
<li>Open and transparent culture</li>
<li>We provide good opportunities for learning and working directly with the founders</li>
<li>Flexible Working Hours</li>
<li>Free snacks &amp; beverage in office !</li>
<li>We provide Dental &amp; Optical benefits (upon confirmation)</li>
<li>Laptop allowance&nbsp;</li>
<li>Insurance for inpatient boarding&nbsp;</li>
<li>3 days marriage leave entitlement&nbsp;</li>
<li>Maternity leave up to 100 days&nbsp;</li>
<li>Paternity leave up to 10 days&nbsp;</li>
<li>Annual leave up to 22 days&nbsp;</li>
<li>Birthday leave on the birthday month (upon confirmation)</li>
</ul>

Why Join Us?

Involve Asia is an affiliate marketing platform that helps connect advertisers to publishers through native advertising solutions. 
Involve provides tools to help web, mobile and social publishers automate affiliate marketing and maximise their earnings through intelligent product and service recommendations. 
Set up in 2014, Involve Asia is a venture-backed company with offices in Malaysia, Indonesia and Thailand. 
In 2017, Involve Asia has also been certified as an MSC-status company.

About Us

We’re looking for a Junior/Mid Level Data Engineer who is curious, technically hands-on, and eager to grow into building reliable production-grade data systems.
You’ll work with senior engineers, analysts, product teams, and business stakeholders to build, maintain, and improve data pipelines and datasets used for analytics, reporting, and operational decision-making.
This role suits someone who enjoys going beyond surface-level fixes: tracing data issues across systems, validating assumptions, reading pipeline logic, improving data quality checks, and learning how to operate data systems at scale.
You do not need to know everything from day one, but you should be comfortable learning quickly, asking good questions, writing clean SQL and Python, and taking ownership of assigned work.

WHAT YOU’LL DO
Build and maintain data pipelines
<ul>
<li>&nbsp;Design, build, and maintain data pipelines that ingest, transform, validate, and serve data for analytics and business use cases.</li>
<li>&nbsp;Work with batch data processing workflows, and gradually learn streaming or CDC-based patterns where applicable.</li>
<li>&nbsp;Support end-to-end pipeline development from source ingestion to data lake storage, transformation, modeling, and serving layers.</li>
<li>&nbsp;Write SQL and Python code for data transformation, automation, validation, and pipeline support.</li>
<li>&nbsp;Help improve pipeline reliability, performance, and maintainability over time.</li>
</ul>
Support data infrastructure and orchestration
<ul>
<li>&nbsp;Work with workflow orchestration tools such as Apache Airflow to schedule, monitor, and troubleshoot data jobs.</li>
<li>&nbsp;Support workloads running on compute clusters and data lake environments.</li>
<li>&nbsp;Help maintain datasets, tables, partitions, schemas, and transformation logic used by analytics and reporting teams.</li>
<li>&nbsp;Assist in improving data pipeline documentation, runbooks, and operational playbooks.</li>
</ul>
Data quality, reliability, and troubleshooting
<ul>
<li>&nbsp;Investigate pipeline failures, data discrepancies, freshness issues, and unexpected metric changes.</li>
<li>&nbsp;Perform root-cause analysis by checking source data, transformation logic, job logs, SQL queries, and downstream reports.</li>
<li>&nbsp;Build or improve data quality checks for completeness, freshness, accuracy, duplication, and anomaly detection.</li>
<li>&nbsp;Work with analysts, product teams, and engineers to clarify expected data behavior and resolve issues.</li>
<li>&nbsp;Help implement fixes that prevent recurring problems, not just temporary patches.</li>
</ul>
Engineering practices
<ul>
<li>&nbsp;Write clean, readable, modular, and maintainable code.</li>
<li>&nbsp;Participate in code reviews and learn good engineering practices such as testing, version control, dependency management, and CI/CD.</li>
<li>&nbsp;Follow team standards for naming, documentation, data modeling, and pipeline development.</li>
<li>&nbsp;Contribute to technical documentation, including data flow notes, pipeline logic, data contracts, and troubleshooting guides.</li>
</ul>
Collaboration and communication
<ul>
<li>&nbsp;Partner with Data Analysts, BI users, Product, Engineering, and Operations teams to understand data needs and translate them into reliable datasets and pipelines.</li>
<li>&nbsp;Explain data issues, pipeline behavior, and trade-offs clearly to both technical and non-technical stakeholders.</li>
<li>&nbsp;Raise risks early when data quality, pipeline stability, or delivery timelines may be affected.</li>
</ul>

This job is a Data Engineer role at Involve Asia. You might like this job because you’ll work with large datasets, building smart systems that help teams find useful insights. Plus, you&#x27;ll use cool tools like Python, EMR, and Kubernetes!

Kerja ini adalah untuk Jurutera Data di peringkat junior/pertengahan yang ingin membangunkan sistem data yang boleh dipercayai. Anda mungkin berminat dengan kerja ini kerana ia memberi peluang untuk bekerja dengan pelbagai pasukan, menyelesaikan isu data, dan belajar mengenai pemprosesan data secara mendalam sambil menggunakan SQL dan Python.

Java (Programming Language)

Python (Programming Language)

SQL (Programming Language)

Data System

We’re looking for a Junior/Mid Level Data Engineer who is curious, technically hands-on, and eager to grow into building reliable production-grade data systems.
You’ll work with senior engineers, analysts, product teams, and business stakeholders to build, maintain, and improve data pipelines and datasets used for analytics, reporting, and operational decision-making.
This role suits someone who enjoys going beyond surface-level fixes: tracing data issues across systems, validating assumption...

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