Data Visualization Engineer

Job Description Who We Are Simpplr is the AI-powered platform that unifies the digital workplace bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations including AAA, the NHS, Penske, and Moderna trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. Job Title:- Data Visualization Engineer Job Description:- If working with data gives you joy and getting deep into numbers is something that doesn't bother you but rather excites you, then this is a perfect opportunity for you. The candidate will be responsible for building and optimizing Simpplr's visualization and reporting capabilities built on top of the data stack. The ideal candidate is an experienced data visualization engineer who understands how data needs to be presented to end users to tell a story. We love engineers who focus on telling stories using visualization rather than building just plain reports. The candidate will be working in Simpplr's data engineering team to support our next generation of products and data initiatives. Experience level:- - Upto 4 years Roles and Responsibilities:- - Designing, developing, and maintaining user-friendly data visualizations and dashboards using complex datasets from different sources - Builds interactive visualizations and front end software applications for our customers - Implementing best practices to ensure dashboard design consistency for the best user experience. - Create and maintain systems documentation - Collaborate with other functions to ensure reporting needs are addressed - Designing, writing, and testing analytics platform code - Debugging applications, tracing code, and finding and fixing bugs - Plan and execute system expansion as needed to support the company's growth and analytic needs - Strong knowledge of data modeling concepts such as dimensional modeling, star/snowflake schemas, normalization, SCDs, and data warehouse design best practices. Skills and Capabilities:- - Experience of working with BI tools like Thoughtspot, Looker, Tableau or Power BI (Preference is Thoughtspot) - Experience of SQL (Advanced) and analytical data warehouses (Snowflake will be preferred) - Understanding of Data warehouse terminology, principles and practices. - Experience with Javascript will be a plus - Identify and resolve data modeling issues such as chasm traps, fan traps, and circular joins. - Implement best practices in schema design, data joins, and aggregation logic to ensure consistency and scalability. - Partner with cross-functional teams to validate data, improve data quality, and enhance visualization performance. - Desire to continually keep up with advancements in data visualization practices - Catch bugs and style issues in code reviews - Work with the mentality of shipping small features independently Simpplr's Hub-Hybrid-Remote Model At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. - Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. - Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. - Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.