Data Engineer
Our client is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We deliver hundreds of millions of ads per day across thousands of global leading apps and websites. Our platform uses AI to deliver more efficient, effective and precise digital advertising campaigns. Our direct integration with thousands of mobile publishers gives us access to more than 50 billion first-party data signals per day across the globe. Marketers use these anonymized signals to understand and predict consumer behavior, identify new opportunities and fuel business growth.
Requirements
- 4+ years of hands-on experience in Data Engineering
- Experience writing complex queries in SQL โ 3 years
- Experience creating complex processes using Python โ 2 years
- Analytical and problem-solving skills, ability to translate business requirements into a technical solution
- Self-learner, responsible and independent
- Good understanding of data warehouse, data analytics
- English at a very high level and excellent communication skills
Responsibilities
- Design and develop, and optimize data integration pipelines and data aggregations
- Design and implement data models that support business requirements
- Work closely with business, data, product and tech teams
- Coding in Python and SQL
- Orchestration in Jenkins and Airflow
- End-to-end responsibility for processes โ design, develop, test, monitor
- Includes sharing on-call duties with team members in case of production incidents (on call some nights/weekends)
What we offer
- Help and support from our caring HR team
- 20 days of vacation
- The exchange of experience and work with talented colleagues
- Last but not least - valuable compensation for your efforts
Required skills experience
| SQL | 3 years |
| Python | 2 years |
Required languages
| English | B2 - Upper Intermediate |
๐
$2500-4000
Average salary range of similar jobs in
analytics โ
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