Project Overview:

Our client is a US-based company who is a trusted global authority on intelligent infrastructure providing innovative solutions with the mission to drive the world to be safer, smarter, and more efficient. They leverage AI, machine learning, and data to support the intelligent infrastructure essential for the future of smart cities and smart mobility. Our disruptive technology and integrated solutions deliver transformative impact on our customers and citizens daily. 

We are seeking a highly motivated DataOps engineer who wants to take part in our new and growing team, is highly independent, can lead end-to-end projects, from the requirements phase to production, and is a team player that understands the importance of using the knowledge of other team members, consulting and sharing designs before running off to implementation.

The team members are located in Israel in the same time zone as Ukraine.

The data domain is Connected Vehicle Data.

Дмитро Поляков
  • Build new data pipelines, work and lead the project from the requirements stage to production;
  • Handle the processing of streaming data workloads (billions of events daily), large-scale machine learning pipelines;
  • Work tightly with the data science team to understand their needs;
  • Upgrade infrastructure/platform capabilities to manage this high scale;
  • Handle infrastructure problems in platform related to quality, scale, performance.
  • Experience with AWS (S3, SQS, Athena);
  • Redis, Docker, PostgreSQL;
  • Apache Spark, PySpark;
  • Upper-intermediate English level;
  • Previous experience processing streaming data and building pipelines.
Nice to have:
  • Experience with Databricks, Kafka, Argo CI/CD or similar tools.
Higher Education:
  • Bachelor’s Degree.

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