This Europe-based client is one of the world's most established stock exchanges. This is a new project that just started last month and will last several years. We have several teams with about 100 people total operating from the EU with no overtime work expected. The work is split up into small parts based on priority; after a part is released, the team moves on to the next one.

Our scope of engagement includes a modern approach to SOA, including AWS and Microservices stack, data warehousing, modern APIs, frontend development and other areas.

We are using Scrum and scaled Agile framework for the project. Program management, Solution Architects, and Business Analysts are involved on the DataArt side.

DataArt’s specialists focus on data streaming and sourcing solutions to ensure data processing necessary for trading operations.


DataArt is also engaged in transforming business processes and migrating from on-premise hosting to Cloud by re-platforming the entire system and using Cloud native technologies. Part of the work includes the integration of systems and data related to a new asset class into the customer's existing IT landscape.


Technology stack & infrastructure: basics: Java 1.7-1.8, Maven, Spring Boot/Security/Data/etc Git (BitBucket); database part: Snowflake, AWS, Matillion, Python; UI: Angular 2+, JSP; AWS: Anthos/Kubernetes, Snowflake, Matillion, S3, Lambda.

Excellent
MS SQL
Veryw ell
ETL

  • Build and maintain various ETL processes for the corporate DWH
  • Improvement and performance tuning of the existing ETL process
  • Help with the deployment and support of newly introduced features
  • Work with the QA team, bug fixing
  • Task estimation

Must have

  • 3+ years of experience with DWH
  • Strong knowledge of SQL and PL/SQL
  • SQL Queries optimization experience
  • Working with dataflows with heterogeneous data sources.
  • Solid experience with ETL/ELT tools or custom pipelines.
  • Data warehouse + data modelling principles knowledge is a must.
  • Good spoken English

Would be a plus

  • Knowledge of AWS
  • Experience with Snowflake, or willingness to learn and work with it
  • Knowledge of Bash scripts
  • Experience with Matillion, or willingness to learn and work with
  • Ability to reverse engineer complex systems
  • Ability to work with documentation
  • Ability to work with versioning tools (Git)

  • Pakiet medyczny
  • Pakiet medyczny dla rodziny
  • Pakiet sportowy
  • Parking dla samochodów
  • Parking dla rowerów
  • Zimne napoje
  • Gorące napoje
  • Owoce
  • Przekąski
  • Prysznic
  • Pokój relaksu
  • Imprezy integracyjne
  • Kursy językowe
  • Tymczasowe mieszkanie
  • Pomoc w szukaniu mieszkania
  • Pomoc z wizą
  • Konferencje
  • Szkolenia
  • Wskazówki adaptacyjne
  • Książki

DataArt

5000+

DataArt is a global software engineering firm that takes a uniquely human approach to solving problems. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. Powered by our People First principle, we work with clients at any scale and on any platform, and adapt alongside them as they evolve.

We integrate our engineering excellence with deeply human values that drive our business and our approach to relationships: curiosity, empathy, trust, honesty, and intuition. These qualities help us deliver high-value, high-quality solutions that our clients depend on, and lifetime partnerships they believe in.

DataArt has earned the trust of some of the world’s leading brands and most discerning clients, including Nasdaq, Travelport, Ocado, Centrica/Hive, Paddy Power Betfair, IWG, Univision, Meetup and Apple Leisure Group among others. 


 DATAART IN NUMBERS 

  • 4000+ professionals.
  • 23 years in operation.
  • 22 offices in the USA, Europe, and Latin America.
  • 11 countries.
  • <10 % attrition rate.
  • 31% women.
  • Glassdoor review score — 4.8.

Team satisfaction survey 2020

  • 95 % of our team members are ready to recommend us as a good employer to their friends.
  • 92 % of our team members are ready to spend 2+ more years of their career with us.
  • 75 % are satisfied with their total deal with DataArt.

R&D CENTERS

  • Argentina.
  • Armenia.
  • Bulgaria.
  • Poland.
  • Russia.
  • Ukraine.


 INDUSTRY COMPETENCES 

  • Finance.
  • Healthcare & Life Sciences.
  • Retail & Distribution.
  • Travel, Transportation & Hospitality.
  • Media & Entertainment

 OUR CULTURE AND PRINCIPLES 

People and relationships are the foundation of our success. We invest in long-term relationships, with our colleagues and clients alike. We’re a global technology consultancy with deep tech and domain expertise. We embrace change and foster an environment of experiment and learning which lets us illuminate our talents and apply them within our ecosystem.

PEOPLE FIRST: our relationships with clients and colleagues are based on mutual respect, no matter our differences.

EXPERTISE: open up your potential within DA ecosystem.

FLEXIBILITY: experiment and learn, embrace change.

TRUST: is at the core of our relationships with partners and colleagues. We lead via context and let professionals do their work the best they can.

Our policy of equal opportunities in employment

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of bias including age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. DataArt is committed to providing a working environment free from harassment and bullying and ensuring all staff are treated, and treat others, with dignity and respect. Our commitment to promoting equal opportunities and creating the workplace free of harassment and discrimination is supported by the implementation of respective policies and controls, provides an appropriate environment to encourage good performance and conduct at all its working locations, at all times.

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