Cognyte BI Data Engineer / Back-end Developer 

Bulgaria, Sofia 

401169973

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

The Data Analytics group’s mission is

To do well in this role, you must be technical and up to date with modern technology to re-design traditional data collection processes. You should have strong analytical skills, agile and with the ability to adjust between traditional and innovative data tools.

As a Cognyter you will:

● Handle technical design, development, optimization, monitoring, and governance of the ELT, data pipelines, and data Lakehouse

● Develop complex ETL and stream Data Pipelines

● Implement new technologies and data infrastructures

● Explore ways to enhance data quality and reliability

● Work closely with data analysts and Tableau developers to effectively model and build our DWH

● Develop and maintain the master data layer

● Adopt industry-leading technologies to support best-in-class business capabilities for high-performance computing and data storage solutions

For that mission you’ll need:

● 5+ years of experience in data engineering and ETL/ELT development in a DWH environment

● Proficiency in SQL, Python

● Experience with cloud DWH tools such as: Snowflake, DBT, Azure Data Factory, Apache Airflow

● Excellent understanding of DWH architecture, methodology and data modeling

● Experience with troubleshooting and solving problems, strong analytical skills

● Excellent communication skills with fluent English

● Ability to work well independently and as part of an agile team

Advantage:

● Data engineering certification is a plus

● Additional programming languages, such as R, Scala, Java

● On-Prem environment experience with tools, such as, SSIS, SQL-Server, OLAP and Tabular

● Knowledge of DAX and MDX

● Experience working with data visualization tools

● Experience in a global company

Apply now.