Middle Data Engineer

We're rapidly growing and inviting a Data Engineer to our team.

Job Responsibilities:

• Develop and maintain ETL pipelines using AWS services such as S3, Glue, Lambada and Athena

• Write efficient Python and PySpark code for data processing and transformation

• Manage database systems and optimize SQL queries for performance

• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions

• Implement best practices for data management, security, and compliance

• Monitor and troubleshoot data pipelines to ensure reliability and performance

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Operations Research, Mathematics, Statistics, or related field

• Strong proficiency in AWS services including S3, Glue, Lambada and Athena

• Advanced programming skills in Python and experience with PySpark

• Proficiency in SQL and database management

• Experience building and optimizing ETL pipelines in a production environment

Nice to Have:

• Experience with Tableau

• Experience with Airflow and Kafka

• Experience implementing machine learning tools in production environments

We offer:

Care for your health and well-being

• 100 % paid sick leaves;

• 20 working days of paid vacation;

• Medical support;

• Benefits Cafeteria (budget for gym/stomatology/psychological service & etc.);

• Corporate gifts & events.

Professional growth & development

• Competitive salary with annual salary promotions;

• The annual budget for professional courses, conferences, workshops, and books;

• Internal training courses;

• Work with a team of professionals and have the opportunity to share knowledge.

Corporate Culture

• Dynamic and result-oriented work environment;

• The ability to influence product development at an early stage;

• Openness to new ideas and approaches, healthy team discussions;

• No “red tape” culture.