Number of Applicants
:000+
Develop data pipelines for internal DWH.
Develop integrations with 3-rd party systems.
Work closely with data analysts, data scientists and other teams within the company to solve problems that require data.
Take lead in design and development of ETL solutions.
3+ years of proven experience in data modeling and data warehouse design.
Excellent knowledge of database concepts and practical experience with SQL.
Strong knowledge and experience with some distributed data processing technology like Redshift / BigQuery / Snowflake / Spark or similar.
Excellent understanding of data warehouse architectures.
Proven experience in ETL data pipelines design, implementation and maintenance.
Excellent knowledge of software engineering practices and hands-on experience designing production-level Python code.
Experience working with Cloud-Native technologies (AWS/Azure/GCP)
Bachelor’s/Master degree (Computer Science, Mathematics or related discipline).
Will be a plus:
Ability to define new and challenge existing best practices for data processing and architecture.
Experience in mentoring other data engineers and knowledge sharing.
Experience in mobile gaming industry.
Knowledge of Apache Airflow, Apache Kafka, Docker.
18 business days of compensated day-offs
8 paid Personal Days a year + 1 day is added every year
Flexible Public Holidays policy
Individual budget for training and growth
❤️ 100% Sick Leave compensation
Payment for wear and tear on equipment while using a personal computer
Remote work
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