Senior Data Engineer Offline

Our partner is a leading technology company transforming the way investigations are done with smart tools that help teams collect, analyze, and use data effectively. Their AI-powered platform simplifies case management, data visualization, and reporting, making it a valuable solution for industries like law enforcement, financial investigations, and cyber threat intelligence. With deep expertise in business intelligence and data, they help organizations make faster and better decisions. They are focused on innovation and collaboration, creating a positive and dynamic workplace.

You'll collaborate closely with the other data engineers, VP of R&D, CTO on extending capabilities of the platform …

P.S. Being the first to uncover hidden insights in data? Just one of the perks .

Requirements

• 6+ years of experience in data engineering or a related field, with a track record of designing and implementing data pipelines and ETL processes
• Proficiency in Python, including experience with data-focused libraries and frameworks
• Hands-on experience with Kafka (building, scaling, and maintaining messaging solutions)
• Solid knowledge of Elasticsearch, including indexing, searching, and cluster management
• Experience working with MongoDB

• Upper-intermediate or higher level of English

   

Will be a bonus

• MySQL knowledge
• Familiarity with AWS
• Experience with CI/CD pipelines and DevOps practices
• Strong team collaboration skills, including mentorship and code review capabilities

Your day-to-day responsibilities will include

• Data modeling
• Working on scaling and performance.
• Adding new pipeline capabilities.
• Working with Kafka and Python.
• Exploring and implementing AI features.
• Working on data quality and integrity.
• Improving pipeline configurations