Proficiency with object-oriented languages, preferably Java/ Spring,
alternatively C#

Proficiency with modern front-end frameworks, preferably React with Redux,
Typescript.

Experience with designing and implementing complex features in full-stack
applications.

Fluent in the use of Git, Jenkins.

Solid experience with RESTful APIs and JSON/SOAP based API.

Solid experience with SQL, Multi-threading, Message Queuing.

Hands-on experience with Python or Scala is preferred, as well as expertise in
Hadoop platforms and related tools.

Experience in building and deploying production-level data-driven applications
and data processing. workflows/pipelines and/or implementing machine learning
systems at scale in Java, Scala, or Python and deliver analytics involving all
phases.

Data engineering or data science background with strong understanding of data
pipelines, architecture, infrastructure, and management.

Desirable Capabilities :

Experience with cloud native development using microservices.

Experience with Kafka, Zookeeper.

Knowledge of enterprise application security protocols and concepts.

Expertise with automated E2E and unit testing frameworks.

Knowledge of Splunk or other alerting and monitoring solutions.

Core Competencies:

Strong technologist eager to learn new technologies and frameworks.

Experience coaching and mentoring junior teammates.

Customer-centric development approach

Passion for analytical / quantitative problem solving

Ability to identify and implement improvements to team development processes

Strong collaboration skills with experience collaborating across many people,
roles, and geographies

Motivation, creativity, self-direction, and desire to thrive on small project
teams

Superior academic record with a degree in Computer Science or related technical
field

Strong written and verbal English communication skills