Senior ETL Engineer - Cloud Data Pipelines

Axonect; Jakarta Pusat; On-site; IDR 279,000,000 - 390,600,000; Part time

Job summary

Axonect in Jakarta is seeking a skilled ETL Developer to design, build, and maintain high‑performance ETL pipelines on Tencent Cloud platforms, especially using WeData for data integration and orchestration, and DLC for SQL‑based lake processing. The role requires strong hands‑on experience with Spark underneath.

Join a collaborative team delivering reliable data solutions, with a 6‑month contract and opportunities to optimize data flows across the data lakehouse.

Qualifications

• Minimum 3+ years of hands-on ETL development experience
• Direct experience with Tencent Cloud WeData (data integration, orchestration, scheduling)
• Direct experience with Tencent Cloud DLC (Data Lake Compute) – SQL-based lake processing
• Strong proficiency in SQL and Spark
• Bachelor's degree in Computer Science or related field

Responsibilities

• Design, build, schedule, and monitor end-to-end ETL pipelines using Tencent Cloud WeData
• Develop and optimize SQL-based ETL jobs on DLC with Spark engine
• Perform data extraction, transformation, cleaning, and loading from various source systems into data lakehouse
• Implement incremental loading, scheduling, orchestration, and real-time monitoring of pipelines
• Troubleshoot pipeline failures and optimize performance (Spark tuning, SQL optimization)
• Collaborate with data architects and business teams to understand data requirements and deliver reliable solutions

Skills

ETL development

SQL

Spark

Tencent Cloud WeData

Tencent Cloud DLC

Education

Bachelor's degree in Computer Science

Tools

Hive

Hadoop

Iceberg

Lakehouse

Python

Job description

Axonect in Jakarta is seeking a skilled ETL Developer to design, build, and maintain high‑performance ETL pipelines on Tencent Cloud platforms, especially using WeData for data integration and orchestration, and DLC for SQL‑based lake processing. The role requires strong hands‑on experience with Spark underneath.

Join a collaborative team delivering reliable data solutions, with a 6‑month contract and opportunities to optimize data flows across the data lakehouse.