Data & Backend Engineer (Full Stack) – Senior Associate
PwCMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop data solutions that transform raw data into actionable insights to drive business growth.
Leverage advanced analytics, statistical and machine learning techniques on large datasets to solve complex business problems and inform strategic decisions.
Build and maintain data pipelines, data lakes, and collaborate with clients to deliver tailored data engineering and full-stack solutions.
Minimum Requirements
Bachelor's degree required.
At least 4 years of relevant work experience.
Proficiency in English (oral and written).
Not explicitly mentioned: notice period and mandatory location requirements.
Ideal Candidate Profile
Strong backend and data engineering skills including Python, PySpark, SQL, RESTful and GraphQL APIs, and ReactJS for front-end development.
Experience applying machine learning, data modeling (including C++, R, MATLAB), and predictive analytics in professional projects.
Educational background preferably in Artificial Intelligence, Data Science, Computer Science, Engineering, or related technical fields.