Verizon Recruitment Drive; Hiring Data Engineering II – Apply Now

Verizon seeking a skilled Data Engineering Analyst to join our high-performing team and propel our telecom business forward. You’ll contribute to building cutting-edge data products and assets for our wireless and wireline operations, spanning areas like consumer analytics, network performance, and service assurance. 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. Candidates kindly read all the instruction given below, before proceed to apply

Name of the Organization: Verizon

Requisition ID: R-1044939

Positions: Data Engineering II

Location: Hyderabad, Bangalore & Chennai

Salary: As per company Norms

Required Skills & Qualifications:

• Bachelor’s degree with one or more years of work experience.
• Experience in building complex SQLs to do data analysis to understand and design data solutions
• Experience with ETL, Data Warehouse concepts and Data Management life cycle
• Experience in any DBMS,  GCP/Big Query
• Experience in creating Data models using Erwin tool
• Experience in shell scripting and python

Preferred Skills:

• Certification in GCP-Data Engineer.
• Good problem solving, analytical, and research capabilities.
• Good verbal and written communication.
• Experience presenting to and influence stakeholders.

Job Description:

In this role, you will develop deep expertise in various telecom domains. As part of the Data Architecture & Strategy team, you’ll collaborate closely with IT and business stakeholders to design and implement user-friendly, robust data product solutions. This includes incorporating data classification and governance principles.

Responsibilities:

• Collaborating with stakeholders to understand data requirements and translate them into efficient data models.
• Designing, developing, and implementing data architecture solutions on GCP and Teradata to support our Telecom business.
• Designing data ingestion for both real-time and batch processing, ensuring efficient and scalable data acquisition for creating an effective data warehouse.
• Maintaining meticulous documentation, including data design specifications, functional test cases, data lineage, and other relevant artifacts for all data product solution assets.
• Implementing data architecture standards, as set by the data architecture team.
• Proactively identifying opportunities for automation and performance optimization within your scope of work
• Collaborating effectively within a product-oriented organization, providing data expertise and solutions across multiple business units.
• Cultivating strong cross-functional relationships and establish yourself as a subject matter expert in data and analytics within the organization.

 

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