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Data Engineer

Sanayi, Teknopark İstanbul, Teknopark Bulvarı, Pendik/İstanbul, Türkiye


Full Time

About the Company

TEA networks is a leading global provider of mission-critical in-home Wi-Fi QoS management
platform for ISP and CPE companies. We help our customers deploy next-generation Wi-Fi
connectivity and manage critical infrastructures for their broadband subscribers. Our state-of-
the-art software platform is designed for relentless reliability and delivers unquestioned
performance for operators. Our predictive Wi-Fi network management solution has been
deployed by more than 15 global telecom operators in Europe and now we are growing rapidly
in the Southeast Asia region.
If you are willing to be part of a winning team that is developing cutting edge managed Wi-Fi
solutions, then you should join us!


  • Competitive Salary

  • Company stock option plan

  • Private Health Insurance

  • Transportation and Rent Support

  • Flexible working hours and days

  • Meal card

  • Birthday leave


  • Evaluate future data analysis and reporting requirements of TEA networks solutions

  • Using a number of reporting and BI tools, generate customer-specific and population-

  • As appropriate, collaborate with the development team to automate and incorporate

  • Analyze data collected from TEA networks' cloud-based Wi-Fi monitoring, management,

  • Integrate and extend existing systems into big data frameworks in an efficient manner.

  • Develop, deploy and monitor machine learning models on a large scale.

  • Investigate and design new product features for TEA networks' cloud-based Wi-Fi


  • B.S. or higher degree in Computer Science, Economics, Statistics, Mathematics or

  • 3+ years of related job experience.

  • Experienced in big data analytics, statistics, predictive modeling, forecasting, machine

  • Fluency in coding using Python or R and experience in statistical packages and ML

  • Experience in Apache Spark or any other distributed computing framework.

  • Experience in model development solutions on Cloud Platforms (AWS, Azure, etc) is a

  • Strong knowledge of database management systems like SQL and big data frameworks.

  • Good command of English

If you are interested in working with us, please send your CV to
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