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Senior Big Data Engineer (Core Data)

Senior Big Data Engineer (Core Data)

23 Minutes ago • 5 Years + • Data Analyst • Undisclosed

About the job

12 skills required for this role

Add these skills to join the top 1% applicants for this job

ci-cd

pandas

teamcity

aws

python

sql

hadoop

data-analytics

postgresql

scalability

quality-control

team-management

Job Description

The Senior Big Data Engineer (Core Data) at Playrix will join the Automation Team, focusing on the core data platform (DWH + Delta Lake). Key responsibilities include optimizing data pipelines, enhancing platform scalability and reliability, developing and maintaining data workflows, and implementing data quality best practices. This role involves close collaboration with BI analysts, ML teams, and other engineers to support strategic business initiatives. The engineer will automate data extraction, quality control, and transformation processes, ensuring data is delivered in a client-friendly format for analytics and marketing. They will also maintain the continuous data delivery pipeline and integration services for external partners.

Must have:

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

Perks:

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

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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