Greece Job Openings
Baresquare
Senior Data Engineer (Remote in Greece)
Thessaloníki
FULL TIME
August 19, 2024
Role Overview: As a Data Engineer at Baresquare, you will play a pivotal role in shaping our data architecture, focusing on introducing innovative solutions that enhance the efficiency and speed of data processing. Your responsibilities will include designing, building, and optimizing data systems that support robust analysis and decision-making. Collaboration with diverse teams to translate business needs into effective technical solutions will be key to your success.
We are looking for candidates with a strong understanding of our technology stack or similar, particularly in Apache Airflow (MWAA), Python, Node JS, and AWS, with some exposure to GCP. Hands-on experience with Large Language Models (LLMs) is also essential for this role.
The role can be remote but based in Greece, ideally Thessaloniki. For this position, we will not accept applications outside of Greece.
Key Responsibilities:
- Contribute to the design and development of Baresquare’s enterprise data platform.
- Implement and maintain our data pipeline & orchestration services, extract structured and unstructured data, transform, and prepare them for insight generation.
- Collaborate with data scientists and analysts to translate business and customer requirements into technical solutions and product features.
- Identify and address performance bottlenecks and data quality issues.
- Comply with data security and regulations within the EU and US regions.
- Ensure all developed solutions and data pipelines meet the highest quality standards for production environments, focusing on reliability and maintainability.
- Document data engineering processes, best practices, and standards.
- Proficiency in programming languages such as Python and Node JS.
- Hands-on experience with orchestration tools such as Apache Airflow.
- Working within AWS and/or GCP services (e.g., MWAA, S3, RDS Postgresql, Big Query, Lambda/Cloud Functions)
- Strong knowledge of relational (Postgre SQL) and MPP (Big Query, Snowflake, Redshift) databases.
- Hands-on experience with Large Language Models (LLMs) and an interest in leveraging AI technologies.
- Self-motivated, proactive, and able to work independently and collaboratively in a team environment.
- Genuine interest in exploring new technologies, innovation-driven, and eager to learn.
- Competitive compensation package, adapted to the candidate’s specific skills and career progress.
- Corporate gym membership and social activities.
- Ongoing personal development, building strong experience on the leading data platforms and technologies.
- Work in a dynamic international environment with clients and team members located around the world.
Ready to shape the future of analytics with us? Join us and be part of a dynamic environment where collaboration, innovation, and growth are at the heart of everything we do.
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