Job Description

This role supports both platform and data teams, developing and maintaining front and back-end code for a B2B audience building platform. It involves developing, maintaining, and analyzing datasets from diverse sources to create insights for clients, power the platform, and create innovative market understanding.

Responsibilities

• Design and implement business requirements by collaborating with stakeholders
• Advise project leadership on technical subjects and provide input on feasibility of product asks
• Assist the leadership team in identifying engineering talent
• Keep stakeholders apprised of project progress by regularly providing engineering updates
• Take ownership of the application code and develop a complete understanding of how the application functions
• Master the development tools being used and the services employed
• Develop a thorough understanding of how the application functions from a systems perspective
• Collaborate with cross-functional teams to identify and design requirements for advanced systems
• Architect robust systems and write highly fault tolerant software
• Create new insights for customers to understand their markets
• Design and document systems that can be cleanly and easily maintained
• Maintain data quality by writing validation tests
• Understand variety of unique data sources
• Create and document data documentation, including processing systems and flow diagrams
• Help maintain existing systems, including troubleshooting and resolving alerts
• Share ideas across teams to spread awareness and use of frameworks and tooling
• Show an ownership mindset in everything you do
• Continuous growth mindset, keep learning through social experiences and relationships

Requirements

• 10+ years of successful commercial experience of software engineering life cycle
• Experience designing and implementing scalable architecture with real-time capabilities
• Experience moving large volumes of data across services and architectures
• Experience with Google Cloud Platform services or AWS equivalent technologies
• Extensive experience with SQL and relational databases, including optimization and design
• Experience with analytic tools and ETL/ELT/data pipeline frameworks such as Airflow
• Testable and efficient Python coding for data processing and analysis
• Expert at developing secure and performant applications
• Experience with OS level scripting
• Experience in AdTech, web cookies, and online advertising technologies is a plus
• Expertise in containerized infrastructure and CI/CD systems
• Experience with version control and Agile Project Management tools
• Experience with object-oriented programming, functional programming
• Familiarity with parallelization of applications
• Experience with data visualization tools
• Experience working with global remote teams
• Extremely data driven and detail oriented
• Knowledge of data transformation processes
• Google Cloud certification a plus
• Proficiency in Microsoft Office Suite

Benefits

• No benefits