What you’ll be doing...

Looking for a Senior Data Engineer to work with a small team responsible for building, deploying, and supporting a Big Data solution that will enable operations for a large enterprise environment. Must be able to design, build and maintain Enterprise Level Data Pipe-Lines utilizing the tools available within Big Data Eco-System. As a Senior Big Data Engineer - You will work on Advanced Analytics using Big Data technologies such as Hadoop and Data Warehousing.

  • Build analytical solutions to enable Data Scientist by manipulating large data sets and integrating diverse data sources.
  • Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  • Use complex algorithms to develop systems & applications that deliver business functions or architectural components.

Typical duties will include the following:

  • Work closely with the data scientists, and database and systems administrators to create data solutions.
  • Follow best practices on design and implementation to aid in company-wide data governance.
  • Improve existing data pipelines by simplifying and increasing performance.
  • Design, build, and deploy new data pipelines within Big Data Eco-Systems.
  • Documents new/existing pipelines, Data Sets and Data Sets.
  • Abides by department development standards and SOP's.
  • Attends all department meetings.
  • All other duties as assigned.
  • Keeps updated on latest technologies relevant to position’s duties.
  • Has great knowledge of commonly used software concepts and design.
  • Great knowledge of the development lifecycle.
  • Keeps management updated on projects and assigned work.

What we’re looking for...

You will need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.

Even Better If You Have:

  • Experience of designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc).
  • Experience with various noSQL databases (Hive, MongoDB, Couchbase, Cassandra, Neo4j).
  • Experience with analytic or feature engineer programming (python or scala or java).
  • Experience implementing open source frameworks & exposure to various open source & package software architectures (AngularJS, ReactJS, Node, Elasticsearch, Spark, Scala, Splunk, Apigee, and Jenkins etc.).
  • Experience troubleshooting JVM-related issues.
  • Experience with SQL databases and Change Data Capture.
  • Experience and strategies to deal with mutable data in Hadoop.
  • Experience with Stream sets.
  • Experience of Agile and DevOps methodologies.
  • Relies on limited experience and judgment to plan and accomplish goals.
  • Works under general supervision.
  • Experience in full development life cycle and significant experience in delivering applications and architecture services.
  • Experience in data visualization tools like Kibana, Grafana, Tableau and associated architectures.
  • Experience evaluating and implementing cutting-edge digital technologies.
  • Experience with Cloud technologies (AWS, GCP, PCF, Docker, Kubernetes and application migration.

When you join Verizon...

You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.

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. Different makes us better.