IntellectoKids is one of the world’s largest developers of educational apps for children ages 2 to 7. Our products are among the top 15 in the preschool apps category globally.
We're looking for a skilled Data Engineer to design and maintain robust data infrastructure and pipelines, driving data accessibility and reliability across our platform.
Working format: full-time, remote.
Schedule: Monday to Friday (the working day is 8+1 hours).
Responsibilities:
- Design, develop, and maintain data pipelines using Apache Airflow.
- Create and support data storage systems (Data Lakes / Data Warehouses) based on AWS (S3, Redshift, Glue, Athena, etc.).
- Integrate data from various sources, including mobile apps, third-party APIs, and internal services.
- Ensure data quality, consistency, and availability.
- Support analysts: build user-friendly data marts and contribute to schema and data model design.
- Set up pipeline monitoring, alerting, and logging.
- Participate in architectural decisions and technology selection.
- Automate CI/CD processes for data pipelines.
- Optimize existing data storage systems and complex SQL queries.
Your goals and KPIs during the probation period:
- Design and implement a data quality monitoring system for the raw data layer.
- Review and analyze current data source integrations, identifying bottlenecks and proposing improvements to enhance data reliability and performance.
Key long-term goals:
- Architect and evolve the analytical data delivery pipeline into a standalone, scalable service.
What we expect from you:
- 4+ years of experience as a Data Engineer, including 1+ year at a Senior level.
- Deep knowledge of Airflow: DAGs, custom operators, and monitoring.
- Strong command of PostgreSQL databases; familiarity with the AWS stack(S3, Glue or Redshift, Lambda, CloudWatch) is a significant plus.
- Excellent SQL skills and confident Python programming.
- Knowledge of Kotlin and Golang, and the ability to work with unfamiliar codebases.
- Experience building robust ETL/ELT pipelines.
- Understanding of data warehouse (DWH) design principles and data normalization.
- Ability to work under uncertainty, prioritize tasks, and propose practical solutions.
- Skill in reading documentation and understanding the limitations and capabilities of technologies.
- Understanding of development practices (CI/CD, DevOps) and the ability to solve infrastructure-related challenges within the Data Engineer’s scope.
- Business fluent Russian and English.
Would be a plus:
- Experience with tools such as Firebase Analytics, Amplitude, Adjust, AppsFlyer, or similar SDKs/platforms. Understanding of event structures, attribution, retention, LTV, and other mobile metrics. Ability to collect and aggregate user data from mobile sources for analytics.
- Experience building real-time data pipelines (e.g., Kinesis, Kafka, Spark Streaming).
- Hands-on CI/CD experience with GitHub.
- Startup or small team experience — the ability to quickly switch between tasks, suggest lean architectural solutions, make independent decisions, and take ownership of the result.
What do we offer?
- A high degree of autonomy and responsibility.
- An exciting opportunity in the rapidly growing EdTech industry within a very dynamic team.
- Growth opportunities as the company expands, with potential for professional development within the role and gradual transition to more complex and strategic tasks.
