Our client is developing a reliable, scalable, and user-friendly ticketing and streaming platform for high school sports. Their goal is to create a solution that allows parents, students, and fans to purchase tickets and stream live events effortlessly, ensuring accessibility from any device, anywhere, at any time. We are looking for a specialist based in Lithuania to join our team.

The goal is to ensure a seamless experience for parents, students, and fans when purchasing tickets and streaming live events. The platform will be easily accessible from any device, anywhere, anytime. By incorporating the latest technologies and adhering to best practices in software engineering, we aim to build a robust and secure platform that caters to the users' needs.

Our commitment includes ongoing improvements to the platform and providing exceptional customer support. Ultimately, we aspire to become the preferred platform for high school sports ticketing and streaming, fostering community engagement and support for local teams.

We are looking for a Senior Data Engineer with strong Python experience and strong AWS and SQL knowledge to ensure the reliability and quality of our systems. As a Senior Data Engineer, you will play a crucial role in ensuring the quality and reliability of our microservices through data analysis, testing, and data validation processes.

Working schedule 8:00-17:00 EST. A 3-4-hour overlap with EST is required for effective collaboration.

• Perform comprehensive data validation to maintain high-quality data standards
• Utilize strong SQL skills to validate database queries and ensure they align with business logic
• Build and improve testing tools to streamline processes and increase testing efficiency
• Conduct an in-depth analysis of identified defects, data gaps, and data inconsistencies, and assign appropriate priority and severity levels

• Strong experience with ETL (Extract, Transform, Load) processes and working with data lakes
• Proficiency in distributed data processing frameworks such as Apache Spark and Apache Flink
• Experience with Snowflake for data warehousing and analytics

• Background in Java, Scala, or Go
• Experience with Rust
• Experience working with data pipelines

• 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