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Axonect Linkedin · Posted 1mo ago

ETL Developer - RA

Jakarta

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Indexed description

Role Summary

We are seeking a skilled ETL Developer to design, develop, and maintain high-performance ETL pipelines on Tencent Cloud platforms, especially using WeData for data integration and orchestration, and DLC (Data Lake Compute) for SQL-based lake processing. The role requires strong hands-on experience in building, scheduling, and monitoring ETL data flows with Spark underneath.

Key Responsibilities

  • Design, build, schedule, and monitor end-to-end ETL pipelines using Tencent Cloud WeData
  • Develop and optimize SQL-based ETL jobs on DLC (Data Lake Compute) 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

Person Specifications

Required Qualifications

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

Preferred Qualifications

  • Experience with Hive, Hadoop, Iceberg, Lakehouse architecture
  • Previous experience with Ab Initio or other legacy ETL tools
  • Familiarity with other Tencent Cloud products: EMR, COS, TencentDB, CLS
  • Proficiency in Python or Scala scripting for ETL automation
  • Background in telecom, data warehouse, or large-scale data migration projects
  • Joining: Immediate joiners are highly preferable

Contract Duration - 06 months
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