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Strong employer brand, mid-level generalist data role, and Bengaluru metro increase applicant competition.
Core data engineering skills are transferable, but panel/meter domain expertise increases specificity.
Explicit 4+ years plus mandatory Python, PySpark, SQL, cloud, and visualization skills.
Own modification and optimization of existing codebases supporting analytics products using panel and meter data.
Lead end-to-end analytics projects including feasibility research, model exploration, and business case evaluation.
Design and maintain robust data pipelines with quality checks in Python, PySpark, and SQL; collaborate cross-functionally and communicate technical findings effectively.
4+ years of relevant experience in data science, data engineering, or advanced analytics with independent project ownership.
Proficiency in Python, PySpark, and SQL for data manipulation and pipeline development.
Experience with cloud platforms (AWS preferred; Azure or GCP acceptable).
Bachelor's degree or equivalent in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
Experienced working independently managing analytics projects from start to finish and coordinating with multiple stakeholders.
Demonstrates strong project management skills to prioritize assignments and meet deadlines.
Skilled communicator capable of simplifying complex data insights and tailoring messages for diverse audiences.