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Strong Tier-1 brand plus mid-level (3-year) data/GenAI skills increases applicant competition.
Core data engineering and GenAI skills are transferable across industries but consulting client-focus adds sensitivity.
Explicit three-year requirement plus multiple mandatory technical skills increases shortlisting rigidity.
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Design and implement data architecture strategies aligned with business objectives using programming languages and cloud platforms.
Collaborate with business stakeholders to translate data requirements into reliable technical solutions while maintaining data integrity and system dependability.
Analyze complex problems, mentor team members, and build meaningful client relationships in an ambiguous environment.
Bachelor's degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
Minimum 3 years of relevant work experience.
Proficiency in programming languages such as Python; knowledge of SQL and relational databases required.
Willingness to travel up to 80%.
Experienced in designing and implementing data architecture strategies and managing data integration in cloud environments.
Familiar with AI techniques for enhancing large language models (LLMs) and prompt engineering.
Capable of analyzing complex data problems and mentoring others while effectively engaging with clients in a consulting context.