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 - (BigQuery/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 the 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.