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 looking for an experienced Data Engineer to join our team working on a cutting-edge data platform. This platform serves as the backbone of our customer-facing research and risk products, seamlessly integrating public records from thousands of diverse sources. In this role, you will play a key part in scaling our applications to support our continued growth.

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

• Build, maintain, and improve our cloud-based infrastructure, focusing on containerization, scalability, robustness, and security
• Measure and improve performance and monitoring for the core backend stack
• Create and maintain technical documentation for development processes and code

• Proficient in Python with a minimum of 3+ years of experience
• Experience with cloud architecture (GCP, AWS) and Django
• Experience in building and maintaining Microservices Architecture
• Familiarity with the Modern Data Stack, including data warehouses (BigQuery, Redshift), workflow orchestration tools (Airflow, Prefect), data modelling frameworks (dbt), data validation tools (dbt tests, Great Expectations), and data catalogs (AWS Glue, DataHub)
• Expertise in relational and NoSQL databases, including MySQL, PostgreSQL, Elasticsearch, and MongoDB
• Proficiency in Elasticsearch performance tuning, including performance monitoring and scaling
• Expertise in ETL data pipelines, with experience ingesting and transforming data from diverse sources
• Experience working in an Agile environment
• Understanding of Docker and Kubernetes container technology
• Proficiency in Continuous Integration and Continuous Deployment (CI/CD) automation

• Familiarity with Redis, RabbitMQ, and Celery
• Experience with frameworks such as TensorFlow, Keras, or PyTorch
• Proficiency in web scraping using tools like Scrapy
• Knowledge of networking concepts, including TCP/IP, IPv4/IPv6, and DNS
• Familiarity with campaign finance data and political contributions

• 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