Senior Big Data Engineer (Core Data)
Job Summary
Job Description
- 5+ years Data Engineering experience
- 3+ years Python development (OOP, frameworks, libraries)
- Experience with PySpark, Airflow, pandas, SQLAlchemy, MLflow
- SQL query writing and optimization skills
- Experience with MPP, columnar, relational, Hadoop, in-memory data architectures
- Flexible schedule and remote work (except Russia and Belarus)
- Health insurance and psychologist reimbursement
- Paid vacation and sick leave
- Gym memberships and fitness app reimbursements
- Paid conferences and courses
- Discounts on language courses
- Company events and merch
13 skills required
Job Details
Senior Big Data Engineer (Core Data)
About the company
Playrix is one of the most successful mobile game development companies in the world. In terms of mobile application revenue, we rank first in Europe and are in the top 3 worldwide. Our games have been installed 2.3 billion times (that's a third of the world's population!) and more than 30 million people around the world play them every day.
Team, about the role
The Automation Team at Playrix is responsible for automating business processes and enabling data-driven decision-making across the company. We develop and maintain the core data platform (DWH + Delta Lake), ensuring scalable, high-performance data infrastructure that supports analytics, reporting, and machine learning. The team is structured into three data teams.
DataCore team focuses on data storage, transformation, and accessibility, powering product and marketing analytics. We work with game telemetry, user behavior data, personalization models, and BI reporting to provide reliable datasets for analytics teams and stakeholders.
We’re looking for a Senior Data Engineer to help us optimize data pipelines, improve platform scalability, and enhance data reliability. In this role, you'll be responsible for developing and maintaining data workflows, optimizing storage solutions, and implementing best practices for data quality and monitoring. You’ll collaborate closely with BI analysts, ML teams, and other engineering groups to strengthen our data platform and support strategic business initiatives.
Tasks
- Automating external source data extraction processes
- Automating quality control and verification of supplied data, configuring monitoring and regulations
- Transforming and uploading data for further analysis within game analytics and marketing in the most client-friendly form
- Developing and maintaining a continuous data delivery pipeline
- Developing and maintaining the integration services for interaction with partners
Our stack
Python is our main language, and data access is in SQL. Our Data Lake is built on the S3 and Delta Lake format in Databricks. For our DWH, we use Redshift/PostgreSQL. We work in the AWS cloud infrastructure.
We use solutions from mainstream vendors, including MonteCarlo and DBT. Furthermore, we use a serverless approach when working with resources, as well as horizontal scaling and predictive models. We pay close attention to both code and architecture refactoring. For CI/CD, we use TeamCity.
Requirements
- 5+ years of general experience in Data Engineering
- 3+ years of development experience in Python: OOP, skills in designing frameworks and libraries, ability to read and analyze code, experience in profiling and performance/scalability optimization
- Skills in working with popular DE/ML frameworks: PySpark, Airflow, pandas, SQLAlchemy, MLflow
- Skills in writing and optimizing SQL queries, ability to work with query plans, and experience working with repositories of different architectures: MPP, columnar, relation, Hadoop, in-memory
- Experience with storage of different architectures like mpp, columnar, relation, hadoop, and in-memory
- Fluency in Russian
Our Perks
Flexibility at work
- For most positions we offer a flexible schedule, and employees can work from anywhere in the world (except for the Russian Federation and the Republic of Belarus). You can do your work however and wherever you like — we only evaluate your results.
Caring for health and well-being
- We provide voluntary health insurance for employees and their children, and reimburse online sessions with a psychologist.
- We offer fully paid vacation days and sick leave. In certain circumstances, you can request additional days off.
- We support leading a healthy lifestyle and reimburse the cost of gym memberships and fitness app subscriptions.
Professional development and education
- We pay for participation in specialized conferences and courses and hold our own internal conferences.
- We offer discounts on English language courses and courses for the languages of the countries in which the company operates.
Events and merch
- We regularly hold offline events like team meetings, big corporate parties, and informal office parties.
- We also regularly organize fun competitions, quizzes, hackathons, and online fitness challenges.
- We have a merch store with an internal currency you can use to buy unique gifts. We give out this currency as a gift for significant dates, and you can earn more by participating in events and company activities.
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