Senior Specialist, Data

Job Description

• Understand business processes, applications, and how data flows from creation through storage and collection.
• Design, build, optimize and maintain scalable and reliable data pipelines and ELT/ETL processes on AWS cloud platform.
• Design, develop and maintain data models, data marts, and analytical datasets to satisfy growing data needs.
• Establish and own the data quality and availability for the various data flows.
• Create compelling story and visualisation to convey business insights. Deliver analytics solution to the business.
• Perform exploratory data analysis (EDA) to support predictive use cases.
• Leverage existing predictive models (e.g., regression, classification, basic forecasting) on cloud-based ML platforms, performing configuration, parameter tuning and evaluation to meet business requirements.
• Be part of a project team to manage and deliver project deliverables, resources and timelines.

Requirements

• Bachelor's or equivalent degree in Data Science & Analytics, Computer Science or related field
• At least 5 years of experience in data engineering, data science, or related domains
• Hands-on experience with SQL, Python, and distributed data systems is required
• Experience in ELT/ETL pipeline design, implementation and maintenance
• Experience working with visualization tools (AWS Quick would be preferred)
• Strong understanding in data architecture, management & governance concepts related to lake-house, data lineage and data quality
• Good understanding and experience with cloud services, such as AWS
• Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform) on data preprocessing, feature engineering, and model validation is a plus
• Good communication & stakeholder management skills with ability to bridge technical and business requirements
• Ability to work independently and manage multiple task assignments with motivation and commitment
• Willingness to stay updated on emerging tools, techniques, and best practices in data engineering and analytics.