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 robust data solutions transforming raw data into actionable insights using advanced techniques and tools.
Conduct exploratory and descriptive analysis, statistical modeling, and data visualizations to solve business problems and support strategic decisions.
Build and maintain data pipelines and lakes; collaborate with AI automation teams; mentor junior members on complex data analysis.
Minimum Requirements
Bachelor's degree required.
Minimum 4 years of relevant work experience.
Proficiency in English (oral and written).
Not explicitly mentioned: mandatory location, notice period, or regulatory requirements.
Ideal Candidate Profile
Experienced in backend and data engineering with strong programming skills in Python, PySpark, SQL, plus familiarity with C++, R, MATLAB.
Knowledgeable in machine learning, data pipelines, data lakes, and data quality management in complex environments.
Capable of handling end-to-end data engineering tasks including front-end development with ReactJS and integration of AI-driven automation solutions.