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Senior Data Engineer - Amazon Quicksight Specialist - Quantiphi
Data Engineer
Lead data engineering initiatives focused on Amazon Quicksight, designing and optimizing dashboards, data pipelines, and analytics solutions for enterprise clients.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that feed Amazon Quicksight dashboards with high‑quality, real‑time data.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into actionable visualizations and reports.
- Implement data modeling best practices, ensuring efficient storage, retrieval, and aggregation for complex datasets.
- Optimize Quicksight performance by tuning data sources, leveraging SPICE, and applying advanced filtering and calculation techniques.
- Provide mentorship and technical guidance to junior engineers on Quicksight features, data architecture, and best practices.
Requirements
- 3.5–7 years of experience in data engineering with a strong focus on Amazon Quicksight.
- Proficiency in SQL, Python, and AWS services (S3, Redshift, Athena, Glue).
- Hands‑on experience building ETL workflows and data models that support BI and analytics.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical audiences.
- Strong teamwork orientation and a passion for continuous learning and innovation.