Data Engineer at Joyteractive #vacancy #remote

What are you working on?

  • Genres: Puzzle, Casual
  • Platforms: iOS, Android, Mobile

For which tasks (responsibilities)?

  • 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.

What kind of professional are we looking for?

  • 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.

What are the conditions and bonuses?

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

Python Apache Spark Amazon Web Services (AWS) Amazon Redshift Data Engineering Apache Kafka Azure snowflake-cloud-data-platform data-modeling Google Cloud Platform (GCP) Docker SQL Airflow ETL google-bigquery

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