Client is a premier home improvement company, boasting a network of over 2,000 stores across eight European countries. You'll be part of an organization that values innovation and teamwork, where you contribute to the company's success, not just a single project.

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

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

As a Senior Data Engineer, you'll integrate into a dynamic data engineering team led by an experienced Data Lead. Your new team is a blend of talented Data Engineers, Data Designers, meticulous QA experts, and an agile Scrum Master, all dedicated to building exceptional data solutions.

Data Engineer will offer engineering support and deliver data insights through the collection, analysis, and summarization of development and service issues. Your expertise will help steer the direction of our data strategies and ensure the highest quality in our technology offerings.

PySpark

Azure Databricks

Azure Data Factory

• Design, build, and maintain ETL processes, transforming raw data into actionable insights
• Manage and optimize large-scale data pipelines, ensuring data quality and integrity
• Develop SQL queries for efficient data extraction, transformation, and analysis
• Collaborate with cross-functional teams to understand data requirements and implement effective solutions
• Utilize Python and PySpark for various data engineering tasks, including scripting and automation
• Employ Azure Databricks for advanced data processing and analytics
• Monitor and troubleshoot data workflows to maintain excellent performance standards

• Proven experience as a Data Engineer within a professional setting
• Strong programming skills in Python and a solid understanding of ETL processes
• Proficiency in SQL and experience with large datasets and distributed computing environments
• Hands-on experience with Azure Databricks and Azure Data Factory
• Familiarity with data modeling, data warehousing, and performance tuning
• Proficiency with Azure and ADF (Azure Data Factory)
• Expertise in Databricks, including Delta tables and Delta Live tables
• Strong programming skills in Python and Pyspark
• Advanced SQL capabilities
• Experience with Unity Catalogs
• Proficiency in DBT (Data Build Tool)
• Essential knowledge of the Medallion architecture

• Experience with data governance and cataloging tools
• Familiarity with CI/CD practices and version control systems like Git
• Understanding of data security and privacy best practices
• Experience with additional cloud services and platforms

• 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.

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