(Senior) Fullstack Software Engineer

20 Hours ago • All levels

About the job

Summary_{By Outscal}

Develop and innovate on a greenfield SaaS data platform application using Snowflake. Proficiency in SQL, Python/Java/Scala, and data warehousing is essential. Experience with cloud platforms and Generative AI/ML is a plus.

Our client provides high-performing, privacy compliant and global audience segments for platforms and marketplaces to stay competitive and innovative in the AdTech world.

They are seeking a skilled Software Engineer to work alongside a Product Manager to work on the development of a greenfield SaaS data platform application.

What you will do:

Develop & Innovate: Design and implement scalable, efficient solutions leveraging Snowflake’s advanced capabilities. Your work will impact everything from data pipelines to reporting systems.
Code Excellence: Write clean, maintainable code across the tech stack—from sleek front-end interfaces to resilient back-end systems—ensuring high performance and reliability.
Optimize SQL & Stored Procedures: Take charge of developing and optimizing SQL queries and stored procedures to ensure seamless data flows and storage.
Engage in Snowflake Application Development: Dive into Snowflake-native app development, exploring and pushing the limits of the platform.
Collaborate on Project Planning: Work closely with product and engineering teams to define project scope, timelines, and deliverables.
Ensure Data Integrity: Ensure data accuracy, consistency, and security, maintaining best practices for data quality and protection.
Boost Performance: Enhance Snowflake performance by optimizing data models and queries.
Troubleshooting: Proactively monitor data processes, troubleshoot, and resolve issues for smooth operations.
Quality Assurance: Collaborate with QA engineers to test and refine solutions, upholding the highest code quality through unit tests and system testing.

What you will need:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proven experience in software development and data warehousing solutions, with proficiency in SQL.
Strong command over programming languages like Python, Java, or Scala.
Deep understanding of data modeling, database design, and architecture to support large-scale applications.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, along with an understanding of cloud infrastructure.
Experience with Generative AI (e.g., GPT models) and Machine Learning frameworks (e.g., TensorFlow, PyTorch) is a significant advantage.
Experience or interest in front-end frameworks like React, Angular, or Vue.js, enabling contributions to both the user interface and back-end.
Ability to analyze complex datasets and design efficient, effective data solutions.
Strong debugging skills and the ability to troubleshoot technical issues efficiently.

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