Data Engineer,
Software team

At Nexite, you will have the chance to bring your data engineering skills into the engineering group and develop cutting edge scalable data solutions. We are looking for an open minded, technical savvy Data Engineer to join our engineering group. You will collaborate with our IOT designers, product manager and back-end developers to help us create a leading technology for the retail/IOT world.


  • Design and model data solutions , working closely with the product team to translate analytical requirements to solutions
  • Build and maintain highly-scalable data pipelines using cutting edge technologies and development tools
  • Design, build and maintain scalable data management infrastructure for analytics use cases as well as real time use cases
  • Develop processes and tools to monitor and improve performance, quality and usability of the data
  • Drive, improve, optimize and build the data engineering development processes, including the build pipeline, continuous integration and application monitoring
  • Build high-quality reusable code that can be used in the future
  • Manage Continuous Delivery processes, including automated building, testing and packaging processes
  • Contribute to documentation (e.g. instructional & technical specifications) as and where required
  • Collaborate with multidisciplinary team of designers, developers and Devops
  • Self learner. Able to bring in and adapt to new technologies
  • Stay up to date with current best practices
  • Work in an agile environment . Be ready to adapt to changes, after all we are a startup company


  • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
  • 3+ years of experience as a Data Engineering / Backend Engineer / BI Engineer
  • Experience in designing and deploying large scale data extraction, processing and analysis pipelines
  • Experience in building scalable Data Lakes, analytical databases and ETL infrastructures
  • Experience in building data streaming solutions
  • Experience in working in a GCP environment using various GCP  data stack services : dataflow, apache beam, dataproc, bigquery and cloud storage.
  • Extensive experience in Java and Python
  • Experience in working with Linux environments
  • Experience in working with modern data processing tools, SQL and NoSQL databases and services (such as AirFlow, PostgreSQL, Bigquery,Redis, PubSub etc)
  • Database management, performance tuning and analytical skills
  • Excellent analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Excellent team player
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

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