About the position
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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