Senior Data Engineer

Senior Data Engineer

Position: Full time

Location: Carlsbad office (Initially Remote)

About Us:

NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company's proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.

We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:

We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.

We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.

Duties and Responsibilities:

• Design, implement, and support ETL data pipelines in a big data environment

• Maintain and improve existing data logging, pipeline and analytics platform

• Architect and design next generation data platform with appropriate new technologies

• Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs

• Design, implement, and support a SQL based data warehouse

• Ensure reliability and accuracy of data logging and processing for all NTENT products

Skills and Qualifications:

• Graduate degree in Computer Science or a similar field, or equivalent work experience

• 3+ years working in Data Engineering or Data Warehousing

• Experience with T-SQL, specifically Microsoft SQL Server

• Experience with Database design and schema definition

• Experience with Hadoop ecosystem (Hive, Pig, Oozie)

• Experience with Python

• Experience with Data Visualization and Reporting platforms

The following experience is a plus:

• Tableau

• Kafka

• Spark

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.

We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.