BI Data Engineer / Back-end Developer

Description

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. 

For 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

The Data Analytics group’s mission is to empower Cognyte with data through analysis, operational insights, strategic initiatives, and decision-making. We are looking for an experienced data engineer to join our Back-End team. As a Data Engineer, you will be responsible for ELT data ingestion processes while building our new Cloud Data Lakehouse, while maintaining existing on-prem back-end architecture (SQL-Server DWH, SSIS, OLAP cubes and Tabular Models). You will own of all functions related to our data warehouse: architecture, generation, storage, maintenance, preparation, enrichment, and cleansing. Your work will impact our business's success and growth.

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

Requirements

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

●    Experience as a team leader

Remember: When you're curious enough, you don't need to check every box to apply. Be in touch!

We believe that diverse teams drive the greatness of ideas, products, and companies. Whatever your gender, age, race, creed, or taste in music – if you're curious enough, you don't need to check every box to apply. We’re waiting for you. Apply now