Job Description

Who We Are

Simpplr provides employee experience software that helps companies connect and align employees. With what Simpplr calls Live EX, the platform helps companies communicate better in a distributed world and measures an organization's heartbeat by understanding employee alignment and sentiment in real time. Ultimately, Simpplr aims to enable more positive work environments by helping organizations be more open and caring. Trusted by leading brands, including DocuSign, Eurostar, and AAA, our customers are achieving measurable productivity gains, increased employee engagement and retention, and accelerated business performance. Simpplr is headquartered in Redwood Shores, CA, with offices in the UK, Canada, and India, and is backed by Norwest Venture Partners, Salesforce Ventures, and Tola Capital. Simpplr is widely acknowledged as one of the fastest-growing, most innovative, and most liked solutions in our market. We boast numerous top-tier accolades and encourage you to check us out on various review sites. :- 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 our data stack and data pipeline architecture, as well as optimizing data flow and collection from cross functional teams/applications producing data. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The candidate will be working on the Simpplr's data engineering team to support next generation of products and data initiatives. Experience level:-

• 2 to 4 years

Roles and Responsibilities:-

• Maintain our data platform with timely and quality data
• Build and maintain data pipelines from internal databases supporting our SaaS application
• Flexibility in working any component of our data engineering stack
• Write maintainable, performant code
• Implement the DataOps philosophy in everything you do
• Plan and execute system expansion as needed to support the company's growth and analytic needs
• Create and maintain systems documentation
• Collaborate with other functions to ensure data needs are addressed

Skills and Capabilities:-

• Experience of using Scala for data processing and data wrangling
• Experience of SQL (Advanced) and analytical data warehouses (Snowflake will be preferred)
• Experience of working in ETL/ELT stack
• Good understanding of Kafka
• Understanding of Data warehouse terminology, principles and practices
• Strong knowledge of CI/CD and able to effectively use GitHub
• Knowledge of Python packages used for data processing is a plus
• Working knowledge of Airflow/Prefect will be a plus
• Constantly improve product quality, security, and performance
• Desire to continually keep up with advancements in data engineering practices
• Collaborate with team members to identify requirements, define successful outcomes, and deliver trusted results
• Catch bugs and style issues in code reviews
• Work with the mentality of shipping small features independently

Benefits:

Simpplr provides a competitive compensation package along with other benefits. We believe in work-life integration and offer a flexible work environment. These benefits, coupled with an amazing team who believes in our mission, and values transparency, autonomy, and inclusiveness, make Simpplr an incredible place to work. See what our employees say about working at Simpplr: Glassdoor Reviews