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Tier-1 brand, popular mid-level data engineer role in Bengaluru attracts high applicant density.
Core data engineering skills are transferable, but Azure Data Factory requirement adds cloud-platform specificity.
Explicit 5-8 years plus mandatory Azure Data Factory, statistics, and visualization increases shortlisting strictness.
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Manage technical scope of data projects including gathering, interpreting data, and maintaining automated data processes.
Develop and implement record management policies, automation, and data validation methods to improve operational efficiency.
Create data visualizations, dashboards, reports, and predictive models to provide actionable business insights and performance tracking.
5-8 years of relevant work experience.
Mandatory skills: Applied Statistics, Data Visualization, Azure Data Factory.
Location: Bengaluru, Karnataka.
Work Experience Required: 5-8 years explicitly mentioned.
Experienced in managing end-to-end data engineering projects with a focus on automation and data quality.
Skilled in interacting with clients to understand and translate data requirements into solutions and insights.
Ability to develop complex reports and predictive models using business analytics tools and data visualization platforms to drive business decisions.