Data Foundation Specialist

1 week ago

Singapore beBeeData Full time $120,000 - $150,000
Senior Regional Data Engineer

We are seeking a highly skilled Senior Regional Data & AI Engineer to join our team in Singapore. In this pivotal role, you will drive commercial growth and operational excellence across the APAC region by building a resilient data foundation.

  • Design and maintain scalable data pipelines to extract, transform, and load data from various sources into a data warehouse.
  • Ensure data reliability through end-to-end ownership of data solutions, including monitoring, troubleshooting, and performing root cause analysis.
  • Consolidate data sources and reduce redundant data subscriptions to focus on omnichannel engagement platforms.
  • Manage regional master data for products, customers, suppliers, and inventory to ensure consistency and accuracy for commercial analysis.
  • Develop data models to support key commercial initiatives like sales forecasting, customer segmentation, and pricing optimization.
  • Build and maintain a scalable and secure data infrastructure for both cloud and on-premise environments to handle growing data volumes.
  • Collaborate with commercial teams to identify data-driven opportunities and translate business requirements into actionable data solutions.
  • Discover and prioritize new data sources within the region to enhance commercial intelligence and support business growth.
  • Perform exploratory data analysis to identify patterns and trends that can drive revenue growth and improve profitability.
  • Implement rigorous data validation, cleansing, and continuous monitoring to ensure data quality and accuracy for reporting and analytics.
Requirements
  • At least three years of Data Engineering experience is required, with a proven track record in data ingestion, transformation, and modeling across hybrid cloud and on-premise environments.
  • Strong skills in SQL and programming languages like Python or R are essential for data manipulation and model development.
  • Expertise is needed in both cloud-based platforms (AWS, GCP, Azure) and on-premise data infrastructure.
  • A meticulous commitment to data accuracy and code quality is required, with a history of implementing robust validation and testing procedures.
  • Strong analytical and diagnostic skills to proactively identify root causes and implement sustainable solutions.
  • Ability to effectively manage multiple, diverse data projects simultaneously and deliver results in a dynamic environment.
  • Exceptional verbal and written communication skills are necessary to translate complex technical concepts and data insights for non-technical stakeholders.
  • Proven experience in creating clear, comprehensive, and maintainable technical documentation, such as data dictionaries and architecture diagrams.
  • Ability to process datasets in Mandarin and work closely with Chinese markets.
  • Experience with on-premise data management and security best practices is needed, and knowledge of the pharmaceutical industry is a plus.

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