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Customer Engineer - Data Analytics, Financial Services - Google
Software Engineer
Senior Customer Engineer driving data analytics solutions for financial services, leveraging Python, SQL, AWS, and machine learning to deliver actionable insights and scalable data pipelines.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and analytics solutions for financial clients using Python, SQL, and AWS services.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliver high‑quality dashboards in Tableau.
- Implement machine learning models to predict market trends, detect anomalies, and optimize financial processes.
- Provide technical guidance and support to customers, ensuring optimal performance and reliability of analytics platforms.
- Document architecture, best practices, and troubleshooting procedures for internal and external stakeholders.
Requirements
- 5+ years of experience in data engineering or analytics within the financial services sector.
- Proficiency in Python, SQL, and AWS (Redshift, S3, Glue, Lambda).
- Hands‑on experience building machine learning models and deploying them at scale.
- Strong communication skills and ability to translate complex technical concepts to non‑technical audiences.
- Experience with Tableau or similar BI tools and a solid understanding of data governance and security best practices.
Skills
pythonsqlawsmachine learningtableau