Senior Data Engineer — Build Scalable Pipelines & Insights

TNG Digital; Kuala Lumpur; On-site; MYR 90,000 - 130,000; Full time

Benefits offered by this job

Medical coverage

Extra leave

Monthly lifestyle allowance

Long-term rewards

Mobile and broadband reimbursement

Discounts and wellness perks

Job summary

Nadi Tech, part of TNG Digital Group, is building secure, high-performance data infrastructure in Malaysia to power large-scale B2B and public sector initiatives. You will own systems that matter and deliver data-driven insights used in real-world decisions.

The role focuses on developing data pipelines, ensuring reliability, and enabling efficient data extraction, transformation and loading, with opportunities to create dashboards and predictive insights.

Qualifications

• Advanced SQL and working with multiple databases.
• Proven experience building and optimizing data pipelines.
• Experience with data transformation and workload management.
• Familiarity with big data stores and stream processing.
• Proficiency with data analysis and visualization tools (Tableau/Power BI).
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and maintain optimal data pipeline architecture.
• Ensure availability, reliability, and scalability of the data platform.
• Build infrastructure for ETL processes.
• Enable consumption of the data warehouse.
• Guarantee data pipelines meet SLAs.
• Perform data analysis to derive insights for decisions.
• Create reports, dashboards, and visualizations.
• Apply statistical methods and data modeling for predictive insights.

Skills

Advanced SQL

Data pipelines

Data transformation

Big data analytics

Data visualization

Statistical analysis

Analytical skills

Tools

Hadoop

Spark

Kafka

Python

Java

ETL tools

Job description

Nadi Tech, part of TNG Digital Group, is building secure, high-performance data infrastructure in Malaysia to power large-scale B2B and public sector initiatives. You will own systems that matter and deliver data-driven insights used in real-world decisions.

The role focuses on developing data pipelines, ensuring reliability, and enabling efficient data extraction, transformation and loading, with opportunities to create dashboards and predictive insights.