Data Engineering

The Wireless Solution Train supports critical network functions and services for 4G/5G wireless applications. We are looking for a dynamic and collaborative individual who will contribute to the growth and evolution of Next Gen OSS for Network systems.

•  
  • Planning, designing, developing, coding and testing software systems or applications for software enhancements and new products; revise and refine as required.
  • Implementing changes and new features in a manner which promotes efficient, reusable and performant code.
  • Participating in product feature implementation, both independently and in cooperation with the team.
  • Maintaining and improve existing code with a pride of ownership.
  • Leading medium to large scale projects with minimal direction.
  • Design, develop, and maintain data pipelines using GCP services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Dataproc.
  • Implement and manage data ingestion processes from various sources (e.g., databases, APIs, streaming platforms).
  • What we’re looking for...

You'll need to have:

•  
  • Bachelor's degree or four or more years of work experience.
  • Four or more years of relevant work experience
  • Experience in Python, Pyspark/Flink
  • Experience on Product Agile model (POD) and have product mindset.
  • GCP experience on BQ, Spanner, Looker
  • Experience in GEN AI solutions & tools
  • Even better if you have one or more of the following:
  • Master’s degree or rleted field.
  • Any relevant certification.
  • Excellent communication and collaboration skills.
  •  
  • Develop and maintain data quality checks and monitoring systems to ensure data accuracy and integrity.
  • Optimize data pipelines for performance, scalability, and cost-effectiveness.
  • Collaborate with data scientists and analysts to understand data requirements and provide data solutions.
  • Build and maintain Looker dashboards and reports for data visualization and analysis.
  • Stay up-to-date with the latest technologies and best practices in cloud data engineering. (preferred GCP).