Senior Data Engineer
About Dialpad
Dialpad is the leading Ai-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, Ai-driven insights. Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers.
We thrive on continuous evolution, where every employee leverages industry-leading Ai to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Senior Data Engineer, you will work closely with cross-functional stakeholders to design and build robust, high-quality data pipelines and curated datasets that power analytics, AI, and dashboards across the organization. This role is based in India and reports to the Senior Director of Data Analytics in the US. The candidate must be available to attend meetings during US overlapping hours (8 AM to 12 PM PST) and be willing to travel occasionally.
Dialpad’s data team acts as a centralized hub, supporting the analytics and business intelligence needs of global departments such as Finance, Product, Customer Support, Marketing, and Sales. The team is responsible for data ingestion, ensuring data quality, managing data engineering, and delivering business analytics services, including report automation, as well as descriptive and predictive analytics. Dialpad’s data team operates from four global hubs located in the US, Canada, Argentina, and India.
What you’ll do
- Partner with analytics and business stakeholders to gather data requirements and translate them into scalable data models and pipelines.
- Design, develop, and maintain automated data workflows and transformations using dbt.
- Perform in-depth validation and profiling of data to ensure accuracy, completeness, and consistency across sources.
- Implement and maintain robust data quality checks and automated tests to ensure the integrity of critical data flows.
- Document data models, transformations, and business logic in a clear and collaborative manner.
- Mentor and train other team members on dbt best practices, modular design, and performance optimization.
- Continuously improve the data engineering stack and contribute to our internal data engineering standards.
Skills you'll bring
- 5+ years of advanced SQL and DBT development skills.
- Bachelor’s degree in a technical or business field.
- Experience working in a SaaS-based technology company.
- Proficiency in Python for data exploration and analysis.
- Hands-on experience with Agile Software Development methodologies and tools like Jira.
- Working experience in cloud-based data platforms like GCP, AWS, or Azure.
We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn’t satisfy every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
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