Инженер данных

AQLY provides comprehensive business solutions and consulting services in IT, marketing, sales, HR, and AI. The company collaborates with small, medium, and large enterprises, as well as startups, to develop and optimize business processes through technological integration and data analysis tools.

• Design, build, and maintain data pipelines for clients and internal projects;
• Collect, clean, and integrate data from various sources including databases, APIs, and files;
• Organize and optimize data warehouse and database architectures;
• Automate ETL/ELT processes to accelerate data flow;
• Collaborate with Data Analyst and AI teams to provide high-quality, ready-to-use data;
• Monitor data quality, accuracy, and security, identifying and resolving errors;
• Develop and recommend data solutions tailored to client business needs;
• Monitor existing systems to ensure continuous operation.

• At least 1-3 years of experience in Data Engineering or a related field;
• Proficiency in SQL and Python;
• Experience in designing ETL/ELT processes and data flows;
• Ability to work with databases such as PostgreSQL, MySQL, and MongoDB;
• Strong logical thinking and problem-solving skills;
• Ability to work in a team, responsibility, and a desire for self-improvement;
• Interest in learning new technologies;
• Nice to have: familiarity with cloud platforms (AWS, GCP, or Azure), experience with Apache Spark, Kafka, and Airflow.

• Competitive salary;
• Flexible work schedule;
• Opportunity to work on diverse projects across IT, marketing, sales, HR, AI, and legal sectors;
• Friendly team environment.