Engineering III Consultant-Data Engineering

Job Description

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

What you’ll be doing...

We are seeking a highly skilled and motivated Data Quality Engineer to join our dynamic team. As a Data Quality Engineer, you will play a critical role in ensuring the accuracy, consistency, and completeness of our data across the enterprise data platform. You will be responsible for designing, developing, and implementing data quality processes, standards, and best practices across various data sources and systems to identify, resolve data issues.

You will be primarily responsible for the following activities but not just limited to these:

• Designing and implementing data quality checks, identifying, and resolving data quality issues, collaborating with data engineers and product team to improve data pipelines, and developing data quality standards and best practices.

• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and quality expectations.

• Analyze architecture and designs to identify test automation strategies to provide full test coverage for new and/or existing data quality checks. Identify and articulate gaps in architecture or design which would lead to data quality issues. Goal here is to validate, automate and maintain high-quality data that supports informed decision-making and business operations.

• Monitor and analyze data quality metrics to proactively identify issues and opportunities for improvement.

• Establish data quality monitoring processes as part of CI/CD and tools to ensure ongoing compliance with quality standards.

• Investigate root causes of data quality issues and work with relevant teams (upstream, downstream & Analyst) to implement corrective actions.

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...

We are looking for a Data Quality Engineer with Hands-On Experience in implementing Quality Rules.

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

• Four or more years of total IT Experience including 2+ years of Cloud Platform Experience

• Hands-on experience in Big Query, GCS, SQL Programming

• Excellent written and spoken communication skills

• Design, lead, and manage a data quality functional to technical documentation strategy.

• Provide technical guidance and support to ensure data quality standards are integrated into all data-related projects and initiatives.

• Work closely with Data Operations & Support, Monitoring team to capture production data quality exceptions and mitigate business impact/risk

• Document data quality processes, procedures, and standards for reference and training purposes.

• Proven experience as a Data Quality Engineer or similar role, with a minimum of 4 years in data quality management or data governance.

• Solid understanding of data management concepts, including data profiling, data cleansing, and data integration.

• Triage production level issues by analyzing the production logs and work with the development team until the issues are resolved.

• Proficiency in SQL for data querying and manipulation. Develop and execute automated data quality tests using tools like SQL, Python (Pyspark), and data quality tool/frameworks (IBM cloud pak, Collibra, databuck etc.

• Experience with working in a cloud environment (GCP preferred).

• Experience with data warehousing solutions (Big Query preferred).

• Experience with data quality monitoring tools

• Working knowledge of DevOps principles and CI/CD pipelines preferred.

• Strong analytical skills with the ability to identify patterns, trends, and outliers in data.

• Strong problem-solving skills and attention to detail.

• Perform data validity, accuracy and integrity tests across different components of the Data Platform.

• Help create and implement quality processes and requirements.

• Ensure data governance and compliance through appropriate processes.

• Collaborate with internal data governance teams and ensure the implementation of data governance and data asset management standards and policies.

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

• Experience on GCP Big Query, Data Transfer Services, GCP Data Proc and Data Flow

• Knowledge of CI/CD Implementation on Cloud Platform

• Knowledge of Cloud Orchestration & Workflow scheduler Tools

• Knowledge on Reporting tools like Looker, Qlik etc.

• Certification on data engineering technologies preferably GCP Professional Data Engineer

• Experience in analyzing large amounts of information to discover trends and data

• Experience with Data Quality and Performance Tuning

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

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.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.