When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

  • Develop, maintain and enhance Bluejeans's Data Lake using state of the art ETL frameworks and technologies.
  • Develop and extend ETL pipeline for a number data systems used by Engineering, Operations, Sales, Marketing and Finance and product.
  • Develop ingest pipelines for high volume transactions in a scalable and cost effective manner.
  • Design and develop data marts for near real-time requirements such as Dashboarding and Fraud detection systems.
  • Work with outside vendors and other staff on integration projects.
  • Define Data Quality and Data Governance processes to help the system scale.
  • Help resolve data issues, troubleshoot system problems and assesses priorities.

What we’re looking for...

You’ll need to have:

  • Bachelor’s degree orfour or more years of work experience.
  • Four or more years of relevant experience.
  • Strong experience with distributed data processing technologies such as Spark/Hadoop/EMR.
  • Programming experience in of python, Scala or related to implement ETL pipelines.
  • Strong experience in understanding business requirements and dimensional modelling.

Even better if you have:

  • Experience in developing real time pipelines using Kafka/Kinesis or related.
  • Strong SQL, database and SQL performance tuning skills.
  • Skills in SQL, pyspark, HiveQL or equivalent.
  • Experience with AWS or any other public clouds.
  • Experience with any third-party Reporting tools such as Tableau/Cognos/Business objects.
  • Experience with machine learning.