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Network Redux LLC

Unit 402, Fourth Floor, Tower B, World Trade Centre, Infopark Phase 1 SEZ, Infopark Kochi P.O., Kakkanad, Kochi – 682042

Phone0484 297 2794

Career Opportunities:

Data Engineer

Position: Data Engineer
Experience: 4-10 Years

Job Description
We are looking for a Data Engineer to help optimize, expand, test, and maintain the data
pipeline architecture across all of our databases and for our upcoming products. You will be
working closely with our software engineers and data scientists to understand and implement
database requirements, troubleshoot issues, and improve data reliability and quality. The ideal
candidate should have a solid understanding (both theoretical and practical) of machine learning
techniques, and be comfortable building data systems from the ground up. In this role, you are
expected to be highly analytical and possess critical thinking skills.
? Create, expand, and maintain optimal data pipeline architecture that supports the
business requirement
? Conceptualize, implement, and redesign infrastructure to improve scalability and better
data extraction and analyzation
? Develop data set processes for data modelling, mining, and production
? Recommend ways to improve data reliability and quality
? Prepare raw data to be examined and organized by the data scientist
? Keep up with industry standards and new technology advancement to improve your own
work outputs
Mandatory Skills
? Ability to communicate clearly in English both verbal and written
? Bachelor’s degree in computer science, engineering, mathematics, Analytics, or related
IT field. Master’s degree in a relevant field is advantageous and preferred
? Strong understanding of software development techniques, both procedural and
non-procedural language
? Strong analytic skills related to working with unstructured datasets
? Strong proficiency in Python and/or Java
? Strong proficiency in Relational database (PostgreSQL)
? Experience with Jira and Git
? Basic knowledge of machine learning libraries and models, Deep Learning subjects, and
Natural Language Processing subject

Educational Qualification
* Degree or masters from any recognized university.