Data Engineer

Position : Data Engineer

• 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.
• 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.
  
  Work Location : Singapore.
  
  Interested applicants- Please send us resume at [email protected]

Skills

Data Quality Checks, Kubernetes, Data Acquisition, ETL Tools, Data Warehouse Systems, Container Orchestration, Data Quality Assurance, Data Engineering, Configuration Control, Data Integrity, Workflow Orchestration, Hands-On Experience, Apache Kafka, Data Loading, Docker, Docker Container