全职 Senior Data Engineer 工作, 薪水, RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) Federal Territory 公司招聘中 - Ricebowl

Job Title: Senior Data Engineer

Experience: 7+ Years

Location: Malaysia

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and platforms On Premise and Cloud Ecosystem (Microsoft Azure Preferrable), with hands-on expertise in modern data engineering tools and frameworks.

Key Responsibilities:

· Migrate data pipelines from existing data acquisition framework to the new GDP data acquisition framework

· Configure, develop and deliver data ingestion scripts for loading data into T1 data layer

· Develop and manage ETL/ELT workflows, ensuring data quality, integrity, and reliability.

· Integrate and automate data quality checks and validation processes within data pipelines.

· Deploy and manage containerized applications using Docker and orchestrate workloads on Kubernetes.

· Work with modern data lake and warehouse technologies such as Iceberg

· Implement real-time data streaming solutions using Kafka.

· Orchestrate complex workflows using Airflow.

· Integrate with data catalog and governance tools such as Datahub and Ranger.

· Collaborate with cross-functional teams to understand business requirements and deliver data solutions.

· Ensure security, compliance, and best practices in data management and governance.

Key Skills Required:

· Strong proficiency in Linux, Python, and Shell scripting.

· Hands-on experience with Docker, Kubernetes, and container orchestration.

· Hands-on experience with Minio and Azure Data Lake Storage (ADLS) using S3 protocols.

· Experience with Apache Iceberg, Kafka, Airflow, Datahub, Trino, and Ranger.

· Proficiency in Java for data engineering tasks.

· Solid understanding of data modelling, data warehousing, and big data technologies.

Prior Experience:

· Extensive background in building and maintaining data pipelines/ETL processes.

· Experience in implementing and integrating data quality frameworks.

· Extensive experience in working on migration projects moving from legacy data pipelines to modernized tech stack