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.
14 мая 2021

Data Architect

Киев, удаленно

Необходимые навыки

Your essential Knowledge, Skills & Experience:

— Experience in architecting, designing, integrating, and understanding the characteristics and specificities of data-intensive systems (aka Big Data).
— Experience in Data modeling at Conceptual, logical and Physical based on domain and business needs.
— Proficiency and understanding of relational, non-relational, and graph database technologies.
— Hands-on experience in handling large and varied data sets, data preparation, data processing and data analytics of large data sets.
— Experience in designing and implementing effective solutions for /managing data governance and data policies.
— Experience in ETL, Data Migration, Data import, and Export from.
— Distributed systems to relational or graph databases.
— Experience in implementing Enterprise data management solutions in the cloud.

Будет плюсом

Desirable skills and experience:

— 5+ years of experience in data architect and design of data management solutions.
— Experience in any of the data architecture like kappa, lambda or delta is a big plus.
— Hands-on experience in SQL (Oracle or MS SQL), no-SQL (MongoDB).
— Experience in implementing security policies or standards like ISO, GDPR or HiTrust.
— Experience in Graph databases (neo4j or grakn) is an advantage
Experience Microsoft Azure Databricks, Data factory, HDInsight, Hadoop, HBase.
— Experience in implementing Azure or Aws Data lakes and analytics.
— Understanding /Experience in Apache Spark SQL, Graphx, Streaming.
— Experience in any Program language Python or Scala or R.
— Implementing in cloud infrastructure. cloud data storages (blobs or buckets), be it Azure or Aws or both.
— Experience in various licensed or open ETL technologies like Azure datafactory, AWS glue, or Apache Nifi.
— Experience in using Azure or Aws provided ML engines, Power BI to implement analytics.
— Any certifications or accreditations related to database design, Azure or Aws data architect is desirable.

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

Reporting to the Director of Data Strategy, this role will see you taking responsibility in architecting, implementing, and managing enterprise solutions around big data especially in cloud environments with distributed, scalable, fault-tolerant, and secure data storage, data ingestion, integration, retrieval, and data analytics.

Responsibilities:

— Acting as the design authority within the engineering team and the platform development for data considerations.
— Designing data management and engineering solutions for data-intensive systems.
— Defining best practices, patterns, and architectural styles for data management and engineering (data ingestion, transformation, and integration).
— Mapping the data product vision to the required data solutions and technologies by ensuring genericity, performance, reliability, resilience, and security models and sources.
— Recommend and implement secure and regulatory compliant data practices and solutions.
— Working with SME’s to catalog and organize data sources across the business by domain.
— Work with SME’s and data modelers to build a generic and systematic data modeling approach and solution that cater to diverse data sources.
— Working with the data engineers to ingest, transform, and onboard the identified data sources.
— Championing a Data-as-an-Asset mindset across the engineering team.
— Continuously searching for advanced technology and data architectural methods, practices, and technologies and champion these practices across the organization.
— Ability to mentor and build high-performing data engineers.
— Ability to think and implement strategic and tactical data solutions to business.

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.

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