DataArt

Data Engineer with DataBricks (Lithuania)

Added 3 weeks ago

Seniority level:

Specialist

Skills:

PySpark , 3 yrs.
Azure , 3 yrs.

Languages:

English B2 - Upper intermediate
Experience:
3 yrs. minimum in Engineering
Monthly salary (gross):
5600 - 6700 €
Contract type:
Full-time
Location:
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
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Job description

Project overview

Our client is a home improvement company with over 2,000 stores operating in 8 countries across Europe. The company offers a wide range of home improvement products and services to both consumers and trade professionals, available in-store and through our e-commerce channels.


Working in cross functional team using Agile framework to design, build and maintain home improvement solution.


We are looking for a specialist based in Lithuania to join our team.

Team

The successful candidate will be involved into work within IT teams to support developers in designing and building of Data Products and Solutions.

Position overview

Providing engineering support and data insights by collecting, analyzing, and summarizing development and service issues.

Technology stack

Pyspark

Azure Databricks

Azure Data Factory

Responsibilities

  • Design and develop new framework with modern cloud DWH architecture and ETL processes
  • Defining principles for acquisition, storage, corporate data services, and data accesses
  • Evolve and adapt the data platform to the latest open-source technologies
  • Help with building scalable ETL pipelines
  • Solve data-related business objectives using existing tools
  • Integrate easily with APIs
  • Perform data preparation for Data Scientists
  • Provide direction to data engineers working on the data platform, including best practices, review and testing processes
  • Provide information by collecting, analysing, and summarising development and service issues


Requirements

  • 3-5 years of experience or 3-5 completed projects
  • Experience with Databricks and DBT
  • Knowledge of data management fundamentals (data modeling, ELT/ETL, data quality, metadata management, data warehouse/lakes patterns, distributed systems)
  • Implement cloud data technologies on Azure
  • Strong SQL skills
  • Knowledge of programming language (Scala, Python, etc.)
  • Hands-on experience with data processing software and algorithms
  • Good analytical background and the ability to perform data preparation for Data Scientists


Nice to have

  • Understanding of Agile / Scrum approaches


We offer

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

Apply

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com

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Founded in 1997
Employees 5000
Connect on:

About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries.

We are a global team of over 5,000 specialists across 30+ locations, with 32% women and 48% senior-level professionals. Our expertise spans Custom Software Engineering, AI/ML Innovation, Data & Analytics, and Cloud Transformation to drive business growth and efficiency.

DataArt cooperates with innovative startups and respected top companies, including Nasdaq, Skyscanner, Ocado, Doddle, Travelport, Meetup, Rappi, Betfair, and others. Our headquarters are located in New York.

The DataArt R&D Center in the Baltics has a team of about 56 professionals specializing in Java, JavaScript, .NET, DevOps, Data Engineering, Business Analysis, and other areas.

DataArt is deeply committed to actively supporting Ukraine.

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