DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are seeking skilled Python Developers with Data Engineering expertise to join our growing team in the EU region. Ideal candidates will have a strong background in Python development, data warehousing (DWH), and building ETL pipelines using modern orchestrators. This role offers the opportunity to work with cloud-based data solutions and play a key part in data transformation initiatives.

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

• Develop and maintain ETL pipelines with Python, ensuring efficient data processing and transformation
• Leverage Pandas and PySpark for data manipulation, aggregation, and analysis
• Utilize AWS services (S3, Step Functions, Glue, Data Catalog) for data storage, orchestration, and management
• Monitor and troubleshoot data workflows with AWS CloudWatch and CloudTrail
• Apply DWH principles to create, maintain, and optimize data marts and data lakes
• Use orchestrators like Airflow, Dagster, Luigi, or AWS Step Functions to manage ETL workflows

• 3+ years of experience in Python
• Proficiency with Pandas; PySpark experience of 0.5+ years
• 2+ years of experience, with a solid understanding of DWH theory (data marts, ETL, data lakes)
• 1+ year with S3, Step Functions, Glue, and Data Catalog; 0.5+ years with CloudWatch and CloudTrail
• Experience building ETL pipelines using at least one orchestrator (Airflow, Dagster, Luigi, or AWS Step Functions)

• 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