Senior Data Engineer | Bengaluru, IN

About the Role

At Degreed, we help organizations build and measure the skills that power their future. As our data volume and platform complexity continue to grow, we are investing in scalable, high-performance data architecture to support long-term product innovation and business expansion. This role exists to move us beyond maintenance and into the next phase of data platform evolution. As a Senior Data Engineer, you will design and optimize the core data layer that enables internal teams and clients to access reliable, performant, and trusted data at scale.

We are seeking candidates with 5  to 10 years of relevant experience in data engineering, demonstrating strong ownership of data platform components and the ability to operate in complex, high-scale environments.

Key Skills

• Advanced proficiency in Snowflake and SQL, demonstrated by designing performant queries, optimizing warehouse usage, and improving cost efficiency across large-scale datasets
• Strong experience with dbt and dimensional data modeling, including building modular, scalable models and enforcing testing and documentation standards
• Proven experience building and orchestrating data pipelines using tools such as Airflow, Meltano, or similar orchestration frameworks in production environments
• Experience working with infrastructure-as-code and containerized environments, such as Kubernetes and Terraform, supporting reliable and reproducible data platform deployments
• Demonstrated ability to design data architectures that scale with increasing data volume and concurrency, reducing bottlenecks and improving system reliability
• Experience leading or contributing to complex data engineering projects, managing tasks through tools such as Jira and Confluence, and delivering against defined milestones
• Proven experience mentoring data engineers, conducting code reviews, and elevating team standards through shared best practices
• Experience operating in environments with production support responsibilities, including on-call rotations and incident resolution processes
• Ability to collaborate cross-functionally with analytics, product, engineering, and business stakeholders to translate data requirements into robust technical solutions
• Ability to leverage AI tools and technologies relevant to data engineering workflows, such as AI-assisted query optimization, pipeline monitoring, documentation generation, or anomaly detection
  
  

Key Responsibilities

• Design and build a scalable, high-performance data layer used across internal teams and external client-facing use cases
• Optimize and refactor existing data models in Snowflake to improve efficiency, maintainability, and performance
• Develop and maintain reliable, production-grade data pipelines that ensure accuracy, timeliness, and consistency of business-critical data
• Implement infrastructure and orchestration improvements that strengthen platform stability, scalability, and observability
• Collaborate with analytics and product teams to define data requirements and translate them into scalable data solutions
• Conduct code reviews and mentor team members to elevate engineering standards and promote best practices
• Participate in on-call rotations and incident response processes to maintain 24/7 data platform reliability
• Contribute to architectural decisions and long-term roadmap planning to ensure the data platform supports future business growth