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...

Verizon is committed to provide the best Omni Channel and personalized experience to its customers over all channels including Digital, Retail and Indirect, and Customer Care. To enable this best-in-class customer experience, we are working on implementing Site Reliability Engineering (SRE) practices and principles across all customer interactions and applications. Increased pace of innovation and continuous deployment has increased the operational overhead several folds. There is a need for AIOps i.e. artificial intelligence for IT operations. A platform that automates and enhances IT operations through analytics and machine learning (ML). AIOps platforms leverage big data, collecting a variety of data from various IT operations tools and devices to spot anomalies and react to issues in real-time.

What you’ll be doing...

  • As an AIOps Data Engineer you will be responsible for building and optimizing our data pipeline architecture, as well as optimizing data flow and collection from cross functional applications. You will bring in expertise to combine raw data from different sources to create consistent and machine-readable formats. You will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
  • Working closely with vendors and inhouse data scientists to find opportunities to enhance and partially replace primary IT operation functions, including system availability, performance monitoring, event correlation analysis and IT service management automation. You will work on data analysis to generate insights that can be used to take actions in preventing / minimizing system downtimes, service failures and performance issues
  • Working on analyzing raw data, developing filtered datasets and improving data quality and transportation efficiency
  • Working with ingestion of data from multiple IT and business operations tools.
  • Monitor the overall performance and stability of the data pipeline.
  • Manage structured or unstructured data and meta-data in a warehouse and structure it properly via database management systems.

What we’re looking for...

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Must have experience with tools and systems for data analysis including Java (Hadoop, Apache Hive) and Scala (Kafka, Apache Spark), Python and Rlang
  • Experience with large scale data ingestion using real-time data streaming architecture and tools like Kafka and Spark.
  • Hands-on experience with ETL tools for data extraction, transformation, and loading
  • Experience in implementing end to end AI/ML and Data Science solutions, includes problem understanding, correlation analysis, data preparation, AI/ML solution design, model training, model validation, production deployment and model performance monitoring.

Even better if you have one or more of the following:

  • Experience with automation strategies e.g. CI/CD.
  • Knowledge on IT application monitoring tools and underlying data elements.
  • Experience provisioning computational resources in a variety of environments.
  • Significant experience with AWS cloud environments, working knowledge of S3, EC2, EMR, Sagemaker, Athena, RDS and Lambda. Certification in appropriate areas.
  • Strong programming skills in Data Science tools like Python, PySpark, MLlib.
  • Experience managing an enterprise platform and service, handling new customer demand and feature requests.
  • Experience in mining large data sets using sophisticated analytical techniques to generate actionable insights and enhancement recommendations.
  • Programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems.
  • Strong analytic skills related to working with unstructured datasets.

    Equal Employment Opportunity

    We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.