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Business Intelligence Engineer, eCS Data Engineering and Analytics

Bengaluru, Karnataka, India💼 Full-time🗓 2026-09-17 → 2026-09-25

Core

Building metrics models, data pipelines, and analytics tools to drive continuous improvement for Amazon's eCommerce systems and support strategic business decisions.

Role type

Senior Business Intelligence Engineer (Data Engineering & Analytics)

Builds

Critical business/operational metrics, data pipelines, analytics tools, and data structures for large-scale analysis

Domain

eCommerce, Retail, Data Engineering, Analytics

Deliverable

production ML models | dashboards & analysis

Required skills

Data analysis, SQL, Python scripting, Data modeling, Warehousing, ETL pipelines, Data visualization, Data mining, Trend analysis, Data quality improvement

Preferred skills

AWS solutions (EC2, DynamoDB, S3, Redshift), Large-scale complex dataset handling

Technologies

Redshift, Oracle, NoSQL, Tableau, Quicksight, Python, SQL, AWS

Responsibilities

Define and maintain business/operational metrics; Analyze historical data to identify trends; Collaborate on analytics systems and data structures; Drive data quality improvement projects; Lead data mining and analysis initiatives

Seniority

Senior, hands-on IC

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