Junior Software Engineer

Summary:

We are hiring Software Engineers for the Data and Analytics. In this role you will be part of a team that is responsible for designing, building and maintaining a large-scale data ingestion, processing, and analytics system. STAQ is a powerful platform that automates reporting and unifies marketing performance data across the ad technology stack for publishers, tech platforms, and others. By automating the collection of delivery data from over 400 integrations, data once managed in spreadsheets or neglected altogether is unified in a single platform through STAQ. Digital executives all benefit from STAQ through faster, better decision-making that ultimately prevents losses and increases revenues.

Job Responsibilities:

• Designing and developing key pieces of our technology stack, including real time data pipelines and scalable data processing and analysis services.
• Coding, you will be doing lots of coding. This role involves data analysis and other analytical aspects as well, but you should expect to write some code every day.
• Providing expertise and direction in planning for future requirements, scalability, availability, and accuracy of customer defined data requests.
• Providing leadership and direction through subject matter expertise.
• Communicating and collaborating with other engineering and non-technical business teams to plan, design, implement, and support complex solutions.
• Monitoring, tuning, and fixing faults to improve performance and stability.

Technical Skills:

• Skills in software engineering, utilizing a language such as Ruby, Python depending on the opportunity at hand. Most of our legacy codebase is in Ruby, so a willingness to work with Ruby is important even if you have experience in another language.
• Experience with multi-terabyte data sets using both relational and non-relational data stores - experience with Apache HAWQ or Greenplum is highly desirable.
• Experience utilizing cloud technologies and environments, including AWS and Google Cloud and operating at "cloud scale".
• Demonstrable understanding of queuing systems, workload dependency management, availability, service-oriented architecture, scalability and distributed data platforms.
• Experience building high performance data pipelines.
• Experience implementing data flows and/or building processors for Apache NiFi is a plus.
• Skilled with Git/bitbucket or another version control system.
• Familiarity with continuous integration and deployment.
• Ability to develop using agile methodologies.
• Experience in the Adtech industry a plus
• In depth knowledge of performance tuning of SQL queries