Data Architect

Data Architect
[online recruitment]
Location: Wroclaw
Reference number: VR-52652
Project Description:

We are looking brand new Data Analytics team for new customer.

In essence, client is leveraging the Azure PaaS platform with all kind of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.

The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omni-channel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.

We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.

Responsibilities

Responsibilities:

  • Design and implement effective data platform solutions (databases, data lakes, data warehouses) and models to store and retrieve company data.
  • Design and implement data ingestion pipelines (ETL/ELT) in Azure environment
  • Design and implement platform and data quality monitoring solutions
  • Examine and identify database structural necessities by evaluating client operations, applications, and programming.
  • Assess database implementation procedures to ensure they comply with internal and external regulations.
  • Prepare accurate database design and architecture reports for management and executive teams.
  • Oversee the migration of data from legacy systems to new solutions.
  • Educate staff members through training and individual support.

Activities:

  • Communicate with many different company stakeholders to assess needs and goals
  • Evaluate current data architecture and databases
  • Apply ETL (extract, transform, load) best practices and design patterns in the creation of data ingestion pipelines
  • Research and discover new methods to acquire and process data
  • Preserve a repository of all data architecture artifacts
Skills

Requirements:

  • Bachelors degree in Computer Science, Computer Engineering or relevant field.
  • A minimum of 5 years experience in a similar role.
  • Strong knowledge of database and data processing technologies
  • Solid data modelling and database design skills
  • General knowledge of data consumption and reporting technologies
  • Experience with Azure Data Platform
  • Experience with Big Data solutions (Hadoop/Spark ecosystem) is a big plus.
  • Excellent organizational, analytical and problem solving abilities.
  • Good written and verbal communication skills.

Skillset Needed:

  • Azure Data Platform: Data Lake gen2, Data Factory, Databricks, Azure Analysis Services, Azure SQL, CosmosDB
  • SQL, Python
  • Data platform monitoring tools
Our offer
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
Please send your CV with consent for processing your personal data for recruitment purposes using the below button
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Informujemy, że administratorem danych jest Luxoft z siedzibą w Krakowie, ul. Bora Komorowskiego(dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie.
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