Senior Data Engineer, Zalopay

We are looking for a passionate and detail-oriented Data Engineer to join our team. In this role, you will contribute to developing scalable internal data tools and modern data platform components. You will help build a robust data infrastructure that powers analytics across the organization.

Key Responsibilities Collaborate in designing and implementing scalable data platform components, including Data Warehouse, Data Lake, and Feature Store Participate in the deployment, automation, and monitoring of data platform infrastructure Design, implement, and maintain efficient ETL data pipelines Develop and support internal web-based tools for data access and operations Work closely with data analysts, scientists, and engineers to understand data requirements and ensure high data quality Continuously research and evaluate new tools, frameworks, and technologies related to data engineering Background in Computer Science, Data Engineering, or a related technical field At least 2 years of experience in a data engineering or related role.

Hands-on experience with Apache Spark for distributed data processing Familiarity with Apache Airflow for data workflow orchestration Understanding of Hadoop ecosystem and large-scale data processing frameworks Strong knowledge of Data Warehouse (e.g., star schema, snowflake schema) and Data Lake concepts Basic understanding of RDBMS and NoSQL databases, and ability to write simple to moderately complex SQL queries Familiarity with Unix environments, distributed computing, and version control systems (e.g., Git) Familiarity with CI/CD pipelines, Docker, and infrastructure-as-code tools such as Terraform or Ansible Basic experience developing internal web-based tools, with a focus on frontend development using ReactJS Soft Skills:

Strong collaboration and problem-solving skills, with a proactive approach to working with cross-functional teams.

Ability to manage time effectively and prioritize tasks in a fast-paced environment.

Willingness to learn and adapt to new tools, technologies, and business needs Nice to have:

Experience with cloud platforms such as AWS, GCP, or Azure Knowledge of feature engineering and ML pipelines Exposure to tools like dbt, Trino, Starrock, Datahub, Awareness of data governance and security best practices