Data Pipeline Specialist: Build Scalable ETL & Insights

TNG Digital Sdn Bhd; Kuala Lumpur; Vor Ort; MYR 90.000 - 140.000; Vollzeit

Zusammenfassung

TNG Digital Sdn Bhd in Kuala Lumpur, Malaysia, is seeking a Data Engineer to develop and maintain scalable data pipelines and data platforms. You will ensure reliability, build ETL infrastructure, and enable consumption of the data warehouse.

The role requires advanced SQL, experience with big data tools, cloud services, and programming in Python or Java. You will create dashboards and reports to support business decisions, applying statistical methods for predictive insights.

Qualifikationen

• Advanced SQL knowledge and experience with various databases.
• Experience building and optimizing data pipelines and datasets.
• Experience with data transformation, structures, and workload management.
• Familiarity with message queuing, stream processing, and big data stores.
• Strong analytical skills and ability to derive insights.
• Proficiency with data analysis and visualization tools (e.g., Tableau, Power BI).
• Experience with Hadoop, Spark, Kafka; cloud services (AWS/Azure/GCP).
• Programming languages (Python, Java).

Aufgaben

• Develop and maintain optimal data pipeline architecture.
• Ensure the availability, reliability, and scalability of the data platform.
• Build infrastructure for efficient data extraction, transformation, and loading (ETL).
• Enable consumption/utilization of the data warehouse.
• Guarantee data pipeline compliance with SLAs.
• Perform data analysis to uncover insights and support business decisions.
• Create reports, dashboards, and visualizations.
• Apply statistical methods and data modeling for predictive insights.

Kenntnisse

Advanced SQL

Data pipelines

ETL

Python

Java

Data analysis

Tableau

Power BI

Statistics

Cloud services

Spark

Hadoop

Kafka

Tools

Hadoop

Spark

Kafka

Tableau

Power BI

Python

Java

Airflow

Jobbeschreibung

TNG Digital Sdn Bhd in Kuala Lumpur, Malaysia, is seeking a Data Engineer to develop and maintain scalable data pipelines and data platforms. You will ensure reliability, build ETL infrastructure, and enable consumption of the data warehouse.

The role requires advanced SQL, experience with big data tools, cloud services, and programming in Python or Java. You will create dashboards and reports to support business decisions, applying statistical methods for predictive insights.