Engineer III Spec- Data Engineering

What you'll be doing

We are looking for data engineers who can work with world class team members to help drive the telecom business to its full potential. We are building data products / assets for telecom wireless and wireline business which includes consumer analytics, telecom network performance and service assurance analytics etc. We are working on cutting edge technologies like digital twin to build these analytical platforms and provide data support for varied AI ML implementations.

As a data engineer you will be collaborating with business product owners, coaches, industry renowned data scientists and system architects to develop strategic data solutions from sources which includes batch, file and data streams.

As a Data Engineer with ETL/ELT expertise for our growing data platform & analytics teams, you will understand and enable the required data sets from different sources both structured and unstructured data into our data warehouse and data lake with real-time streaming and/or batch processing to generate insights and perform analytics for business teams within Verizon.

• Understanding the business requirements and converting them to the technical design.
• Working on Data Ingestion, Preparation and Transformation.
• Developing data streaming applications.
• Debugging the production failures and identifying the solution.
• Working on ETL/ELT development.
• Understanding devops process and contributing for devops pipelines

Where you'll be working:

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we're looking for...

You're curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solving business problems.

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Experience with Data Warehouse concepts and Data Management life cycle.
• Experience in GCP cloud platform - (Big Query/Cloud Composer/Data Proc(or Hadoop + Spark))/Cloud Function).
• Experience in any programming language, preferably Python.
• Proficiency in graph data modeling, including experience with graph data models and graph query language.
• Exposure in working on GenAI use cases.
• Experience in troubleshooting data issues.
• Experience in writing complex SQL and performance tuning.
• Experience in DevOps

Even better if you have:

• Three or more years of relevant experience.
• Any relevant Certification on ETL/ELT developer.
• Certification in GCP-Data Engineer.
• Good problem solving, analytical, and research capabilities.
• Good verbal and written communication.
• Experience presenting to and influence stakeholders.