Data Engineer en Intelligens

Intelligens provides Software as a Service (SaaS) that harnesses the power of artificial intelligence to enhance sales and customer service processes, increasing efficiency and improving results.

Our engineering teams in the Seattle and Santiago areas build 21st Century technology that operates at the intersection of human performance and machine learning.

Play a part in the next human-computer interaction. Contribute to a solution that is redefining the enterprise sales cycle. Create groundbreaking technology for large scale systems, involving natural language processing, sentiment analysis, big data, and artificial intelligence. Our company is looking for exceptionally skilled engineers to work on the core technologies underlying human-computer conversations. Join us in one of the most amazing projects develop in an exceptional environment, with continuous learning processes, in a fun house placed in Sanhattan.

Key Responsibilities

Develop, construct, test and maintain architectures such as databases and large-scale data processing systems. Develop and maintain pipelines to move data making it available and automate transformations so team can easily pull datasets for analysis and build data-driven products. Application must have knowledge on Big Data applications and tools and data management.

• Design, construct, install, test and maintain highly scalable data management systems
• Automate data pipelines
• Ensure systems meet business requirements and industry practices
• Research opportunities for data acquisition and new uses for existing data
• Develop data set processes for data modelling, mining and production
• Integrate new data management technologies and software engineering tools into existing structures
• Employ a variety of languages and tools (python and BI) to marry systems together
• Install and update disaster recovery procedures
• Recommend ways to improve data reliability, efficiency and quality
• Collaborate with data architects, modellers and IT team members on project goals

Candidate should work closely with AI team and Data architects. Tackle problems associated with database integration and messy, unstructured data sets. Objective is to provide clean, usable data to whoever may require it.

Degree:

It will be needed a Bachelor’s degree in computer science, informatics, software engineering or computer related engineering. This is intended for Entry to intermediate level position.

Tech Skills:

• Database Knowledge on architecture
• Hadoop based technologies knowledge (MapReduce, Spark, Hive and Pig)
• SQL Based technologies (must)
• NoSQL technologies (must)
• Data Pipelines experience (ELT/ELT)
• Data modelling techniques
• Python required
• Cloud Computing experience required (AWS is a plus)
• Basic knowledge on distributed filesystems
• Basic knowledge on NLP and text analysis
• Basic knowledge on machine learning

• House Mom: We have homemade food for breakfast and lunch served in our house every day
• Office sports: We enjoy every now and then a foosball (Taca Taca) or a Ping-Pong match
• For gamers: There is an Xbox in the meeting room always available
• Happy hours: every Friday at the end of the week we have a time to relax in our office
• Location: Our office is placed only 4 blocks away from the metro Alcantara right in Sanhattan
• Great environment: Always learning, and experimenting with new technology we even have a beach room to let the work flow better