GT was founded in 2017 by a former executive from Apple, Nest, and Google. GT’s mission is to build teams and products that address some of the more challenging requirements from fast-growth clients in Europe and North America. Instagram — www.instagram.com/global.talent.inc Telegram with updates — t.me/global_talent_inc
14 мая 2021

Data Modeller/Data analyst (вакансия неактивна)

Киев, удаленно

Необходимые навыки

Skills:

— Skilled in the development of data models (3NF and graph), dictionaries, taxonomies and ontologies.
— A strong understanding of data ecosystems.
— Experience with master data management and data warehousing architectures and associated data modeling approaches.
— Experience in meta modeling and building dynamic models.
— Working knowledge of graph databases, UML, and semantic web technologies.
— Excellent interpersonal, communication and influencing skills.
— Experience in building and running pragmatic and effective governance processes.
— The candidate must be able to work independently and collaboratively.

Предлагаем

What we offer:

— An opportunity to co-create valuable innovative solutions for millions of users globally.
— Flexible schedule, a mix of remote and office work.
— Cutting edge office in the center of Ukraine’s first innovation park — Unit.City.
— Medical insurance.
— Monthly commute allowance or free parking space.
— Best-in-class IT equipment mirroring our client set-up.
— Monthly education allowance for courses, training, books, events.
— Gym membership, after-work activities.
— Daily lunches in the office.

Обязанности

The Data Modeller plays a critical role in defining and mapping the As Is and To Be data landscape for the product and will be responsible for maintaining and adjusting the models as new requirements and needs emerge.

Intellectual curiosity is vital. You will work closely with the business, liaising with non-technical stakeholders to understand requirements, develop new data strategies, and identify issues. The expertise to identify architecture, infrastructure and interfaces, define modeling standards, and communicate best practices is essential.

You need to be able to work fluidly across a wide range of data platforms (relational, dimensional, NoSQL, and graph), data tools (reporting, visualization, analytics, and machine learning), and data modelling disciplines (dictionaries, taxonomies and ontologies). Working knowledge of graph databases, UML and semantic web technologies would also be helpful

As well as excellent modelling, mapping, and design skills the Data Modeller will also play a critical role in governance ensuring that the key stakeholders across the organization ranging from technical engineers to nontechnical business folks and scientists have an understanding of the critical concepts of our data model and adhere to the key design principles during the product engineering and build phases.

Key responsibilities:

— Work closely with subject matter experts, data scientists, and product management to gather and translate business needs into the data model(s) that support the platform.
— Evaluating potential data sources to determine how best they can be translated and integrated into our data model. These data sources will be varied — they could be client data, publicly available scientific data or data generated from within Eagle. A thorough assessment of these new data sources will be key to defining and adjusting our data models to accommodate them.
— Design, develop and maintain suitable data models, leveraging a variety of modelling techniques defining and documenting the necessary dictionaries, taxonomies and ontologies that can manage effective all data platforms (relational, dimensional, NoSQL, and graph) and data tools (reporting, visualization, analytics, and machine learning).
— Troubleshooting and optimizing data systems to ensure that they are aligned effectively to the data models enabling efficient, consistent and accurate use of data.
— Partner closely with the data architect to ensure that the data architecture, data infrastructure, and data interfaces to data sources, tools supporting automated data onboarding, data curation, and metadata management are appropriately defined aligned to the relevant data models.
— Using their strong interpersonal skills the data modeller will work with the relevant leadership to establish and run pragmatic communication, governance and change management processes and design standards to ensure that the integrity of our designs are maintained.
— Work proactively and independently to address project/product requirements and articulate issues/challenges to reduce project/product delivery risks relating to data models.

О проекте

Eagle Genomics is a pioneering company working at the intersection of two exciting areas; life sciences and data science. The exploration into the microbiome is inspiring a new view of biology. Breakthrough research into how microbes interact with humans, animals, and natural ecosystems is creating a wealth of vital data and insight into health, wellbeing, and environmental sustainability. Eagle Genomics operates at the intersection of biology, technology, and data to deliver microbiome discoveries that profoundly change the understanding of wellness and even fundamental assumptions about life on Earth. Their Network Science platform, the e[datascientist], drives novel microbiome insights in ever more accessible, intelligent and relevant ways. Through the blend of scientific expertise, advanced AI, and a genuinely curious and free-thinking culture Eagle Genomics empowers breakthrough possibilities in the true life-changing areas of study.

This is the intersection of ideas, innovation, and intelligence. If you’re passionate about data, ML/AI, experiments, prototype development, and innovations, join the team and help us change what it means to do real science and drive innovations.