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Strong employer brand, Bangalore location, broad data skillset and common mid-level title increase competition.
Core data engineering skills are transferable, though manufacturing domain knowledge slightly increases specificity.
Requires specific data engineering stack (Azure, Snowflake, BI tools, Python) though no explicit years specified.
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Designs and manages Azure cloud-based data engineering solutions including scalable data pipelines and futuristic data architectures.
Provides consulting to business clients by synthesizing requirements and delivering data-driven insights, KPIs, and business intelligence solutions.
Builds, manages, and visualizes data products using tools like Power BI, Tableau, DAX, Python, and Snowflake platform to support decision-making and ML model development.
Proven experience in building data engineering solutions on Azure cloud platform.
Bachelor's degree in IT or Computer Science.
Skilled in data modelling, data pipeline development, and business intelligence tools (Power BI, Tableau, Excel).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in driving end-to-end data product lifecycle including design, engineering, and visualization for business users.
Strong capability in handling high-volume, complex datasets and integrating multiple data sources for insight generation.
Comfortable working in a technical consulting role interfacing with business users to translate requirements into actionable analytics solutions.