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Tier-1 brand, Bangalore metro, generalist Data Scientist title and broad skills create high competition.
Cloud, PySpark, Databricks and SQL skills are broadly transferable across industries.
Multiple mandatory cloud and data engineering technologies required but no explicit years requirement.
Develop and maintain advanced data engineering solutions using Python, PySpark, and Azure cloud technologies including Databricks, ADF, ADLS, and AKV.
Manage version control with GIT and handle SQL-based data operations and aggregation of time-series data.
Communicate with stakeholders to report project progress and maintain detailed project documentation such as migration plans and technical specifications.
Master's degree in Engineering mandatory.
Strong skills in Python and PySpark programming, SQL expertise, and experience with Azure cloud services including Databricks, ADF, ADLS, and AKV are required.
Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of version control using GIT and understanding of time-series data aggregation is expected.
Experienced in advanced data engineering and cloud-based big data platforms, especially within Azure ecosystem.
Capable of stakeholder communication and project documentation in a technical research and development environment.
Familiarity with AI/ML, Docker, REST APIs, and frontend technologies (React, Django, modern CSS) considered a plus, along with basic automotive domain knowledge.