Position: Data  Engineer  (Israel)
Company: TechbrainJobs
Experience required: 3y
English level: upper

We are  an independent data company that provides the largest data set available in the digital advertising ecosystem. Every day, the industry’s leading brands, agencies, and publishers trust us with an AI-powered semantic analysis engine to provide a holistic understanding of page content, meaning, and sentiment. We do this by analyzing the relationship between words on a page, the content of a video, or in an app, ensuring appropriate classification. As people’s time and attention become more fragmented, the company  believes that to succeed; you need as much contextual understanding of your audience as possible. We believe that it’s as much about the digital environment as it is about the physical environment. Only then can you deliver the right ad to the right user in the right context.
 
Objectives and Responsibilities of the Data 
Engineer
● A Leader, Thinker, Team-player, Details-oriented professional human being.
● A person who can take a code-project from end-to-end to yield production-grade 
solution, including:
○ Time planning
○ Collaborating with other team members
○ Design and document the solution for others to understand
○ Coding in company standards
○ Test-Plan
○ Demonstration
●Create data-solutions optimized for performance, implementing schema changes, 
and maintaining data architecture standards across all of the business’s databases
●Leads innovation through exploration, benchmarking, making recommendations, and
implementing data-centric technologies for various platforms and requirements
●Design and development of efficient and scalable ETL solutions for enabling 
improved visibility and accessibility to different data perspectives as needed
●Multi-disciplinary - ability to work in a hybrid technological environment constructed 
from various data methodologies and technologies such as batch and stream, 
relational and non-relational databases, on-premises and in the cloud deployment 
stacks
●Sharp and Advanced SQL Skills: capability to generate high-quality SQL operations, 
either ad-hoc or automated, human-requested or programmatic - which reflects the 
understanding of the underlying data layer and technology
●Troubleshoots data issues within and across the business, and presents solutions to 
these issues; proactively analyzes and evaluates the business’s databases in order 
to identify and recommend improvements and optimizations
●Knowledge: It is the Data Engineer duty to keep up with industry trends and best 
practices, advising senior management on new and improved data engineering 
strategies that will drive performance improvement to the business
Required knowledge and skills - Must have
● SQL driven data skills (Schema design NR, dev,  ETL, Performance)
○ Application DBA skill-set (tuning, performance tools)
● Vast development experience using Python and Data\Reporting\ML packages
● JAVA or any other Object-Oriented language
● Version Control + CI\CD Standards (Git)
Knowledge and Skills we will highly 
appreciate as an advantage
● Postgresql !!!
● Scripting and Server-Side - PHP, bash, perl !!!
● Experience in development and deployment in cloud infrastructure
● Experience in developing serverless solutions in AWS
● Experience with Docker, K8s, Containerization
● Experience with NoSQL technologies (ScyllaDB, MongoDB, Redis)
● Embedded Reporting tools
● Experience in developing mission critical, high scale applications
● Technological Savvy/Analytical Skills: should have exceptional analytical skills and 
data management, visualization and distribution.
Experience
 
A candidate for the position will have at least 3 years of working experience as a database 
engineering support personnel or a database engineering administrator within a fast-paced 
complex business setting. The candidate will also have experience working with 
PostgreSQL databases and a rich Python development background, including usage of 
several widely accepted packages (e.g Pandas, Plotly, fbProphet, Boto3 and others).