Position: Middle\Senior Data Engineer (AdTech)
Company: Sigma
Experience required: 5y
English level: upper

Sigma Software is looking for an experienced Data Engineer to join our growing engineering team.

**CUSTOMER**
Our client has superior end-to-end technology, premium marketplace, and best in market advisory services that power the world’s advertising businesses of the largest media and entertainment companies. For example, Fox, NBC Universal, Viacom in the USA, Sky, Channel 4, RTE, and Mediaset in Europe.

**PROJECT**
We invite you to work with a provider of comprehensive ad platforms for publishers, advertisers, and media buyers. We build and support high-quality data solutions to process terabytes of data on AWS’s cloud-native data platform. Our project helps build graph of graphs.

**REQUIREMENTS**
4+ years of hands-on work in the field of Software Development and/or Big Data    
Strong knowledge of algorithms and data structures 
Excellent knowledge of Python, Spark
Strong skills in SQL and proven experience working with major database platforms 
 
**WOULD BE A PLUS:**
Knowledge of Databricks

**RESPONSIBILITIES**
Extensively use several cutting-edge AWS services, 3rd party commercial software, and internally developed software to store, process, and deliver near real-time data 
Design, manage, improve, and build the next generation of data tools and frameworks to develop and maintain data products and infrastructure 
Support and troubleshoot data and/or system issues 
Collaborate with external teams to identify, troubleshoot, and permanently resolve data quality issues 
Develop in-house tools to automate common tasks 
Work with languages like Scala, Python, and SQL 
Conduct code and design reviews to ensure the product quality remains high 
Mentor and guide colleagues and new team members 
Collaborate with Data Engineers and Product Managers to translate complex product requirements into working high-quality cloud-native data solutions 
Share learnings with wider engineering teams by doing technical demos