Data Engineer

About AU10TIX:

AU10TIX, an identity management company headquartered in Israel, provides critical, modular solutions to link physical and digital identities so that companies and their customers can confidently connect. Over the last decade, AU10TIX has become the preferred partner for customer onboarding and customer verification automation and we continue to work on the edge of what’s next for the future of identity’s role in society. Our proprietary technology provides results in less than 8 seconds, allowing companies to onboard faster, prevent fraud, meet compliance mandates, and, importantly, establish trust with their customers. AU10TIX is a subsidiary of ICTS International N.V. For more information, visit AU10TIX.com.

Job Description:

We are seeking a Data Engineer to join our R&D team to develop and maintain a robust platform of the data pipeline and data warehousing, that collects and aggregates millions of monthly events.

You will own a key area of AU10TIX data structure, responsible for collecting, integrating and serving all aspects of data used internally for the business to keep growing.

Responsibilities:

• Build and maintain ETL pipelines in Azure Data Factory
• Build and maintain real-time data processing in Azure stream analytics
• Synapse dedicated SQL pool maintenance and optimization
• Investigate unusual trends in the raw data and start reverse engineering to find the root cause
• Provide support to the business analysts by creating an aggregation table used later for Power BI reports
• Maintain python notebook in Synapse Analytics
• Manage and maintain current billing API connection and add new billing features as needed

Requirements:

• 2+ years working as a data engineer, managing and building etl
• Good knowledge of SQL for data querying and data manipulation
• Experience with Azure Data Factory/ Azure Synapse Analytics
• Python knowledge- Advantage
• Problem-solving and independent thinking.
• Self-learner and Passion for data and strong analytical skills
• Ability to quickly and independently learn new technologies, frameworks, and algorithms.
• Very good English, written and verbal.