Middle/Senior Big Data Engineer (“Zero Waste” Advertising) (offline)

Customer
Our customer is a rapidly growing US AdTech company which connects consumer experiences at scale via media and technology.

Project
Commerce platform for the open internet connects advertising, marketing, and CX through critical data and engaging digital experiences across platforms ranging from mobile to connected TV.

Across Connected TV, Mobile, and Desktop the product empowers premium publishers to create experiences that allow them serving the widest possible audience by optimizing consumers’ time and attention and delivering impactful results for advertisers. Brands and Advertisers have opportunity to get on our true attention guarantee of effective, zero-waste, high-engagement ad experiences that drive measurable brand funnel impact.

As a Data Engineer, you will be an important part of the team that owns data infrastructure. This is no small responsibility, because data is important for AdTech product as air for every living creature. Suppose you are excited by and have experience in ingesting, processing, storing, analyzing, and working in a Big Data environment. In that case, you are very likely the one to enjoy this role too!

Responsibilities:
Perform various tasks, from reading Kinesis streams using Spark Streaming, to joining and aggregating huge data sets, to integrating with third party data sources
Develop and launch new features to satisfy business needs
Be an active and engaged owner of data infrastructure
Be curious and seek to understand all aspects of the product
Comply with the best engineering practices, technical standards, and quality criteria set forth on the project
Troubleshoot and resolve issues, problems, and errors encountered across various systems
Collaborate with Data Science, Product, Research, and Engineering teams to iterate on the roadmap
Gather requirements when underspecified

Requirements:
3+ years commercial experience with Big Data technologies
Strong knowledge of SQL
High familiarity with Python, Scala
Experience debugging and optimizing Spark jobs
Good knowledge of cloud providers like AWS or Google Cloud
Familiarity with database fundamentals, such as ACID, snowflake schema, normalized/denormalized data
Upper-Intermediate level of English

Will be a plus:
Experience working with HDFS and S3
Familiarity with Data Science tooling in Spark
Experience in the advertising industry and with real-time analytics

Personal profile:
High level of self-organization
Strong written and verbal communication skills
Striving to high quality solutions
Flexibility and initiative

About Sigma Software

Sigma Software is a place where Nordic Traditions meet Ukrainian Spirit to create Superior Software. We combine the best practices and approaches from Swedish and Ukrainian cultures. Taking high demand for quality, minimal hierarchy, freedom of decision-making, and attention to every opinion from Swedes, as a Ukrainian company we demonstrate flexibility and dedication to every project and every customer.

We are IT consulting and software product company with development offices in Ukraine, Sweden, the USA, Canada, Poland, and Australia. We deliver smartest solutions to our customers in the areas of government, telecommunications, advertising, automotive, gaming, and others. Being a part of Sigma Group, one of the largest Nordic IT corporations, we are a global player with more than 5000 employees in 12 countries and over 1500 in Ukraine.

We work with startups, software houses, and enterprises providing the products and services that suit our clients the most. Company`s R&D centers are mastering the trending technologies and directions: Infotainment, AR/VR, Blockchain, Machine Learning, Data Science, Artificial Intelligence, and others.

Company website:
https://career.sigma.software/

DOU company page:
https://jobs.dou.ua/companies/sigma-software/