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Product Engineering - Database
Product Engineering - DatabaseSmart Energy Water • Irvine, CA, US
Product Engineering - Database

Product Engineering - Database

Smart Energy Water • Irvine, CA, US
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We offer a rewarding environment for professional development and success and we are looking for skilled and innovative individuals to help us shape the future.

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 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 uses energy & water and become part of our innovative and talented team!

SUMMARY

An ideal candidate must demonstrate in-depth knowledge and understanding of RDBMS concepts and experience 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

  • Provide subject matter expertise in the design of database schemas and perform data modeling (logical and physical models) for product feature enhancements as well as extending analytical capabilities.
  • Review existing database design and data management procedures and provide 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 sources; 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.
  • Design Big Data platforms, including tool selection, data integration, and data preparation for predictive modeling.

QUALIFICATIONS

  • Minimum of 4-6 years of experience in data modeling (including conceptual, logical, and physical data models).
  • 2-3 years of experience in Extraction, Transformation, and Loading (ETL) work using data migration tools like Talend, Informatica, Datastage, etc.
  • 4-6 years of experience as a database developer in Oracle, MS SQL, or other enterprise databases with a focus on building data integration processes.
  • Exposure to NoSQL technology, preferably MongoDB.
  • Experience in processing large data volumes, indicated by experience with Big Data platforms.
  • Understanding of data warehousing concepts and decision support systems.
  • Ability to deal with sensitive and confidential material and adhere to worldwide data security.
  • Experience writing documentation for design and feature requirements.
  • Experience developing data-intensive applications on cloud-based architectures and infrastructures such as AWS, Azure, etc.
  • Excellent communication and collaboration skills.
  • Smart Energy Water is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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    Engineering Engineering • Irvine, CA, US

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