Data Visualization Engineer Gurugram, India (Palo Alto) Job at Simpplr Inc., Palo Alto, CA

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  • Simpplr Inc.
  • Palo Alto, CA

Job Description

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 atsimpplr.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 Simpplrs 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 Simpplrs data engineering team to support our next generation of products and data initiatives.

  • 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.
  • 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 crossfunctional 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

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 HubHybridRemote model. This model is rolebased 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 fulltime.
  • Hybrid Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from inperson 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.

Interested in building your career at Simpplr? Get future opportunities sent straight to your email.

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Job Tags

Full time, Work at office, Remote work, Work from home, Flexible hours,

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