Data Engineer (Python/Scala)

Tilting Point is looking for a Middle or Senior Data Engineer. Is a product company and mobile game publisher that helps game developers find their audience. The company publishes, manages, and launches online services for F2P customers' games, and also creates its games. Big Data is the leading direction in Tilting Point, with the help of which the company is successful in its industry. The company is building a sophisticated data warehouse and ETL platform using a fresh stack of modern technologies.

Data Engineer (Python/Scala)
Full-time
English: Upper-intermediate

In the person we are looking for is important:

  • 5+ years in software engineering
  • 3+ years of experience as a Data Engineer working on big data analytics
  • deep knowledge of Python and SQL
  • Knowledge or willingness to learn Scala
  • Experience in system design and architecture
  • Experience with integration of data from multiple data sources and APIs
  • Experience in building ETL data pipelines
  • Experience with Apache Spark
  • Experience with Apache Airflow or similar job schedulers
  • Experience with cloud infrastructure

Nice to Haves:

  • Experience with Databricks
  • Proficient in AWS cloud (S3, EC2, RDS, EKS, MSK, Lambda, DynamoDB, Redshift)
  • Experience in mobile User Acquisition and Marketing
  • Worked in the mobile gaming industry and knowledge of game-specific data

You will be doing:

  • support and scaling of the Data platform;
  • determine the technological needs for logging, processing, storing and presenting data
  • design, implement, maintain tools and reports for User Acquisition and LiveOps teams from start to finish
  • building systematic reports

As an employee of the company, you get:

  • Ability to own technical direction of various products and systems
  • Flexible schedule and remote-first approach
  • Unlimited paid vacation and sick leave days
  • Full legal and accounting support of your PE account
  • Premium medical insurance after probation period
  • Wellness stipend (gym, yoga, mental health classes, etc..)
  • Work From Home expenses reimbursement (electricity and internet)
  • Home Workplace Arrangement (furniture, technical equipment, etc.)
  • Professional Training and Development (Udemy license and professional events sponsorship)
  • Relocation option to Barcelona (legal and financial support)

Selection stages:

HR interview with a recruiter from Indigo (25 min.)

Introduction to Head of Engineering (30 minutes)

Interview with 2 Data Engineers from the team (1 hour) - questions on Hard skills

Technical with Lead Engineer (1h): high level technical issues.

Our recruiter
Yuliia  Kril
Yuliia Kril
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