Junior Data Engineer: 3-5 Years of relevant experience in Data Engineering fields and good knowledge of Data Warehousing/Data Lake modeling and implementation.
Senior Dara Engineer: 7 Years of relevant experience in Data Engineering fields and good knowledge of Data Warehousing/Data Lake modeling, ETL and implementation.
Location: Bangi, Selangor
9 Months contract role only
About the role
Responsible for data mapping, designing, development, testing, implementing for Enterprise Data Lake Data Pipelines (Bronze, Silver, and Gold) data delivery within timeline.
Key responsibilities
- Design, build, and maintain ETL/ELT pipelines (end-to-end) from sourcing to final data product delivery for structured and unstructured data
- Design schemas for warehouses and analytical model concept for implementation
- Clean and preprocess data to make it suitable for analysis, implementing data transformation processes to extract data for the creation and loading of Data Products
- Integrate data from multiple sources into centralized platforms for analytics and reporting, including API data integration to EDL pipelines with Internal and External applications
- Build frameworks/program for validation, monitoring, and error handling
- Provide documentation on Data Mapping, Technical Specification, and SIT plan & test cases
- Provide strategic recommendations that enhance productivity and business performance
About you
- Minimum 3 to 7+ years of relevant experience in Data Engineering fields and good knowledge of Data Warehousing/Data Lake modeling and implementation
- Proficiency in Python, Powershell, YAML, bash
- Strong proficiency in Linux systems and networking for integration and ELK stack management
- Familiar with data streaming technologies such as Kafka
- Experience with batch scheduling tools such as Nifi, Airflows
- Experience with Apache Iceburg framework for SCD data modeling
- Bachelor's or Master Degree in Engineering, Computer Science, IT, or related technical field
- Good problem solving skill
- Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes)
- Knowledge of other Databases such as MongoDB, HBase, Postgress