Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess at least 4 years of experience in Data Engineering, with a strong focus on building and optimizing data platforms and cloud platforms. They should have expertise in designing and building distributed systems and data pipelines, focusing on data integration, transformation, and processing using tools like Astronomer, Fivetran, DBT, and Segment, with a focus on both structured and unstructured data. Proficiency in Python, Scala, SQL, and Spark is required, along with a solid understanding of cloud infrastructure (AWS/Azure) and data platforms (Databricks, Snowflake, Redshift).
As a Senior Data Engineer, you will be responsible for building, scaling, and optimizing the data platform using Databricks, Spark, and various data integration tools to ensure high performance, reliability, and cost efficiency. You will also design and maintain robust data pipelines with Airflow, Fivetran, DBT, Segment, and automate infrastructure using Terraform to enhance operational readiness, security, and governance. Furthermore, you will prototype, implement, and maintain team projects and features, serving as a technical expert, mentor, and leader, and contribute to constantly improving the team’s processes and best practices.
Digital workspace for team collaboration
MURAL provides a digital workspace platform that enhances collaboration and creativity among teams. It allows users to brainstorm, plan, and design together in real-time, regardless of their location. The platform features digital whiteboards, sticky notes, templates, and integrates with other productivity tools, helping teams visualize ideas and streamline workflows. MURAL serves a wide range of clients, including businesses, educational institutions, and non-profits, and operates on a subscription-based model, offering different pricing tiers based on user count and features. This model supports a steady revenue stream and enables ongoing improvements to the service. MURAL distinguishes itself by focusing on uptime and reliability, ensuring that clients can depend on the platform for consistent service.