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Senior Data Engineer

Salary

₹50 - 100 LPA

Min Experience

5 years

Location

Bangalore, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the 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.

About the company

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.

Skills

sql
dbt
python
agile
cloud