Job
Description
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... Design, build and maintain robust, scalable data pipelines and ETL processes Ensure high data quality, accuracy and integrity across all systems. Work with structure and unstructured data from multiple sources. Optimize data work flows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists to meet data needs Monitor,troubleshoot, and improve existing data systems and jobs Apply best practices in data governance, security and compliance . Use tools like Spark, Kafka, Airflow, SQL, Python and cloud platforms Stay updated with emerging technologies and continuously improve data infrastructure. What we’re looking for… You Will Need To Have Bachelor's degree or four or more years of work experience. Expertise in AWS Data Stack – Strong hands-on experience with S3, Glue, EMR, Lambda, Kinesis, Redshift, Athena, and IAM security best practices. Big Data & Distributed Computing – Deep understanding of Apache Spark (batch and streaming) large-scale data processing and analytics. Real-Time & Batch Data Processing – Proven experience designing, implementing, and optimizing event-driven and streaming data pipelines using Kafka and Kinesis. ETL/ELT & Data Modeling – Strong experience in architecting and optimizing scalable ETL/ELT pipelines for structured and unstructured data. Programming Skills – Proficiency in Scala and Java for data processing and automation. Database & SQL Optimization – Strong understanding of SQL and experience with relational (PostgreSQL, MySQL). Expertise in SQL query tuning, data warehousing and working with Parquet, Avro, ORC formats. Infrastructure as Code (IaC) & DevOps – Experience with CloudFormation, CDK, and CI/CD pipelines for automated deployments in AWS. Monitoring, Logging & Observability – Familiarity with AWS CloudWatch, Prometheus, or similar monitoring tools. API Integration – Ability to fetch and process data from external APIs and databases. Architecture & Scalability Mindset – Ability to design and optimize data architectures for high-volume, high-velocity, and high-variety datasets. Performance Optimization – Experience in optimizing data pipelines for cost and performance. Cross-Team Collaboration – Work closely with Data Scientists, Analysts, DevOps, and Business Teams to deliver end-to-end data solutions. Even better if you have one or more of the following: Agile & CI/CD Practices – Comfortable working in Agile/Scrum environments, driving continuous integration and continuous deployment. #TPDRNONCDIO 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 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less
