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.

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.

We're searching for a seasoned Senior Data Engineer with a strong background in Python, ETL processes, SQL, and a foundational understanding of Databricks. You'll be instrumental in architecting, developing, and maintaining scalable data pipelines and solutions to empower data-driven strategies throughout our organization.

Azure Data Factory

Azure Blob Storage

Azure Data Lake Storage

Azure Key Vault

Azure DevOps Suite

• Design, build, and maintain ETL processes, transforming raw data into valuable insights
• Manage large-scale data pipelines, ensuring impeccable data quality and integrity
• Develop optimized SQL queries for efficient data extraction, transformation, and analysis
• Collaborate with various teams to gather requirements and deliver tailored data solutions
• Utilize Python for diverse data engineering tasks, including scripting and automation
• Leverage DataBricks for advanced data processing, analytics, and team collaboration
• Monitor and troubleshoot data workflows to guarantee optimal performance and reliability

• quirementsProficient in a data scripting language, preferably Python
• Solid understanding of ETL/ELT processes
• Experience with Azure Cloud services and tools
• Expertise in crafting and optimizing complex SQL queries
• Strong background in both Relational and Big Data platforms
• Familiarity with or hands-on experience in DataBricks
• Familiarity with data pipeline best practices and design patterns, such as Kimball and Star Schema
• Experience handling large datasets and working with distributed computing environments
• In-depth knowledge of data warehousing concepts and modeling techniques
• Commitment to comprehensive documentation
• Comfort with Agile methodologies

• Grasp of excellent data design principles
• Exposure to data monitoring tools
• Knowledge of data transformation and optimization strategies
• Experience with Event-Driven Architecture
• Skills in pipeline monitoring and observability
• Experience with various NoSQL databases and object-oriented programming tools
• Understanding of Data Vault methodology

• 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