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Strong Tier-1 brand, mid-level generalist data/fullstack role with broad tech requirements increases candidate competition.
Data engineering skills (PySpark, SQL, Python) are highly transferable across industries.
Explicit 4+ years and multiple required data/backend/ML technologies imply moderate strictness.
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Design and develop robust data and backend solutions transforming raw data into actionable insights using advanced technologies.
Perform exploratory and descriptive analysis, statistical modeling, and data visualization to solve complex business problems and inform strategic decisions.
Build and maintain data pipelines and data lakes, implement machine learning and AI techniques, and guide junior team members in analytical methods.
Bachelor's degree mandatory.
Minimum 4 years of relevant work experience required.
Proficiency in English (oral and written) is mandatory.
Not explicitly mentioned in the JD: notice period or strict onsite/location requirements.
Experienced in backend and data engineering with skills in Python, PySpark, SQL, RESTful and GraphQL APIs, and ReactJS for front-end development.
Educational background preferably in AI and Robotics, Business Analytics, Computer Science/Engineering, Data Science, Machine Learning, or related fields.
Ability to handle complex data analysis, machine learning implementations, data quality management, and integrating AI-driven automation into data processes.