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Tier-1 brand, mid-level generalist data/backend fullstack role, 3-6 years, broad skillset increases competition.
Core data engineering and ML skills (Python, PySpark, SQL) transfer easily across industries.
Explicit 4+ years plus mandatory data/backend and specific tech stack increases filter strictness.
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Design and develop robust data solutions transforming raw data into actionable insights using advanced analytics, statistical techniques, and data visualization.
Build and maintain data pipelines and data lakes, applying machine learning algorithms and predictive modeling with programming languages such as C++ and R.
Collaborate with clients to understand their needs and deliver tailored data solutions while upholding technical standards and interpreting data to inform business decisions.
Bachelor's degree required.
Minimum 4 years of relevant work experience.
Proficiency in English (oral and written).
Experience with backend and data engineering, including programming skills in Python, PySpark, SQL, and familiarity with RESTful and GraphQL APIs.
Experienced in data engineering and data science workflows with hands-on skills in machine learning, predictive modeling, and use of programming languages including C++, R, and MATLAB.
Capable of handling complex data and statistical analysis within AI-driven automation and cognitive solution environments.
Educational background preferably in Artificial Intelligence, Business Analytics, Computer Science, Engineering, Information Technology, Mathematics, Statistics, or related fields.