Product Engineering - Database

Product Engineering - Database

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WHO WE ARE

SEW is the # 1 Energy and Water Cloud Platform, providing cloud-based Software-as-a-Service (SaaS) solutions for Digital Customer Engagement, Field Workforce Engagement, and Smart AI / Machine Learning to the Energy and Utility sector. We help utilities improve their customer service, operational efficiency, and maximize return on investments through the SEW platform applications leveraging the mobile, AI, Machine Learning and Cloud technologies.

Searching for your dream job? At SEW, we strive to help our employees find passion and purpose. Join us in changing the way the world use energy & water and become part of our innovative and talented team!.

SUMMARY

An ideal candidate who must demonstrate in-depth knowledge and understanding of RDBMS concepts and experienced in writing complex queries and data integration processes in SQL / TSQL and NoSQL. This individual will be responsible for helping the design, development and implementation of new and existing applications.

PRIMARY RESPONSIBILITIES

• Responsible for providing subject matter expertise in design of database schemes and performing data modeling (logical and physical models), for product feature enhancements as well as extending analytical capabilities.
• Reviews the existing database design and data management procedures and provides recommendations for improvement.
• Develop technical documentation as needed.
• Architect, develop, validate and communicate Business Intelligence (BI) solutions like dashboards, reports, KPIs, instrumentation, and alert tools.
• Define data architecture requirements for cross-product integration within and across cloud-based platforms.
• Analyze, architect, develop, validate and support integrating data into the SEW platform from external data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS.
• Perform thorough analysis of complex data and recommend actionable strategies.
• Effectively translate data modeling and BI requirements into the design process.
• Big Data platform design i.e. tool selection, data integration, and data preparation for predictive modeling.

QUALIFICATIONS

PERKS @SEW FAMILY