Product Engineering - Database

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.

• 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.

• 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 database with focus on building data integration processes.
• Candidate should have any NoSql technology exposure 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 and 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.