Azure Data Engineer

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Azure Data Engineer Job Opportunity at P97 Networks

P97 Networks is the leading provider of mobile commerce and digital marketing solutions, powering new and emerging daily journeys. Whether you’re looking for fuel, food, parking, charging, or convenience retail, our innovative cloud-based mobile commerce platform, PetroZone®, enables mobile payments, customer loyalty programs, and connectivity with the largest universe of gas stations and convenience stores in the US.

We focus on creating connected commerce experiences through connected cars, smartphones, or voice-enabled devices like Alexa. We specialize in cloud-based payment and loyalty aggregation, identity and security, digital offers and settlement, omni-channel marketing, and data insights. We are continuously redefining connected consumer experiences to make daily journeys more convenient, speedy, and safe.

About the Role

P97 Networks is recognized as a thought leader in digital transformation for the convenience retail and fuels marketing industry. We take hiring very seriously because we trust that an experienced team, a shared passion for technology, and a mutual desire to win will drive our success. If you're looking for a company and opportunity that is compelling and mutually beneficial, we believe you'll find it here.

This job description outlines the types of responsibilities required for the role but is not exhaustive. The incumbent will undertake additional job responsibilities as necessary, which may not be explicitly listed here.

Key Responsibilities

Day-to-Day Tasks

  • Optimize, write, and manage database structures, SQL queries, stored procedures, and functions.
  • Collaborate with the operations team to run queries in production as needed.
  • Oversee data migrations and manage backups.
  • Work with peer DevOps Engineers to implement changes in our production environment.
  • Engage in sprint stories with a SQL component along with the existing DBA.
  • Maintain SQL databases across all environments, focusing heavily on production.

Senior Tasks

  • Provide database expertise to Engineering teams, including reviews of database migrations, queries, and performance optimizations.
  • Assist developers in formulating SQL statements and conduct code reviews (PRs) for sprint releases.
  • Review existing stored procedures, document the tables they write to, and suggest optimizations.
  • Plan for data growth and manage database capacity infrastructure.

Monitoring

  • Manage database instances, deployments, and replications.
  • Monitor database performance, diagnose and resolve issues.
  • Handle environmental questions.
  • Manage logs and error analysis.
  • Administer scheduled tasks and other cloud functionalities.

Qualifications

Essential SQL Skills

  • Experience with Azure SQL Database. v-Core Hyperscale experience preferred but not essential.
  • Proficiency in writing high-performing, complex queries, and stored procedures.
  • Expertise in T-SQL performance troubleshooting and tuning.
  • Strong schema design and data modeling skills, including normalization and de-normalization.

Specific Experience

  • Experience with Online Transaction Processing (OLTP) and large data sets.
  • Familiarity with Azure DevOps, data factory, and Cosmos DB (SQL API and stored procedures).
  • Experience with Blob storage, Redis, and Service Bus.
  • Familiarity with C#, JavaScript, and KQL scripts.
  • Experience deploying SQL changes via CI/CD using DACPAC.
  • Google Cloud experience (Spanner, Cloud SQL, BigQuery) is a plus.

P97 values your hard work and offers a competitive compensation plan, comprehensive benefits, stock options, a 401k match, PTO package, and excellent opportunities for career growth and personal development.

If you want to join a team of technology leaders in an innovative and entrepreneurial environment, apply online today. For a complete list of open positions, visit our .

P97 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability,