Data Engineer

Job description

DANONE PLACE SINGAPORE

About the Role

For the Data Science team in Singapore, Specialized Nutrition division, and as a part of the Precision Nutrition D-Lab (R&I) we are looking for a Data Engineer: a pivotal role dedicated to supporting our team in the creation and management of systems for data coming from sources such as digital devices and 'omics' platforms (i.e. metagenomics, metabolomics, etc.). You have strong data engineering skills combined with the ability to clearly communicate complex ideas to a non-specialist audience, and deliver high quality deliverables according to the agreed timelines. You will build and deliver data services and solutions in support of digital and scientific projects. Additionally, you are the advisor on the Data Architectures pertaining to digital and scientific projects

About the Job

·  Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
·  Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
·  Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
·  Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
·  Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
·  Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
·  Writes unit/integration tests, contributes to engineering wiki, and documents work.
·  Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
·  Works closely with a team of frontend and backend engineers, product managers, and analysts.
·  Defines company data assets (data models), spark, parkSQL, and hiveSQL jobs to populate data models.
·  Designs data integrations, data quality frameworkand evaluates open source and vendor tools for data lineage.
·  Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

General Responsibilities

·  Coordinate the execution of user acceptance testing of data systems and processes.
·  Experience with the use of digital technologies for data acquisition in a healthcare, clinical or real-world evidence context strongly preferred.
·  Resolving technical problems as they arise and provide updates to Management Team.
·  Providing supervision and guidance to development teams, eg. External software vendors.
·  Continually researching current and emerging technologies and proposing changes where needed.
·  Informing stakeholders about any problems with the current technical solutions / data architectures being implemented and provide resolution strategy.
·  Work closely with cross-functional teams such as data science team, scientific researchers andproject managers to execute data-centric projects, from ideation, requirement gathering, design and implementation, testing to closure.
·  Participate in the drafting and reviewing of SOPs, Work Instructions and other relevant guidelines and documentation for good data governance.
·  Continually monitor for opportunities to improve efficiency, effectiveness and data quality and implement changes as appropriate within functional level.

About You

·  Minimum B.A. or B.S. degree, preferably in Information Technology, Computer Science / Engineering or Science.
·  Experience in Medicine, Pharmacy, Nursing, Biological Sciences, or health care related data strongly preferred.
·  At least 5 years' experience of best practices and IT operations in an always-up, always-available data service
·  Experience with or knowledge of Agile Software Development methodologies
·  Experience in data management and database design and development within a medical or healthcare context is a strong plus.
·  Knowledge of working in a regulated environment and familiarity with PDPA, GDPR, ICH-GCP regulations a plus.
·  Advanced knowledge or working with the AWS Data Ecosystem.
·  Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
·  Experience building and optimizing 'big data' data pipelines, architectures and data sets.
·  Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
·  Ability in managing and communicating data warehouse plans to internal clients
·  Experience designing, building, and maintaining data processing systems

About us 　

Danone is a global food company holding top positions in healthy food through its three businesses Essential Dairy and Plant-based products, Waters, and Specialised Nutrition. Its mission, bringing health through food to as many people as possible, embodies commitment to human progress and business success. This gives meaning to the work of our 100,000 Danoners worldwide on an everyday basis.

A healthy body needs healthy food. And healthy food needs a healthy planet. This is what our new signature One Planet One Health embodies.
For passionate people looking for autonomy and exciting career opportunities, Danone truly has something special inside!