We are seeking a talented entry level Data Engineer who can create scalable data platform solutions while collaborating with an experienced team of product development professionals. You will join a cross-functional, DevOps based, Agile team responsible for the entire product development life cycle, encompassing conception, discovery, framing, development, deployment, measurement, and continuous improvement. As a Data Engineer, you should possess expertise in modern data-centric coding languages, development frameworks, and third-party libraries. Additionally, we value individuals who are team players, possess a keen eye for visual design, and prioritize outcomes over outputs. If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application!

At Inspira, we believe in empowering engineers to build smarter platforms - one where human expertise is amplified, not replaced, by AI tools. We seek engineers who have demonstrated experience using AI responsibly to accelerate their development workflow, improve code quality, and solve complex problems more efficiently.

The Data Engineer I will report to the Data Engineering Manager in the Data Engineering Team.

Duties & Responsibilities:

By collaborating closely with fellow product development team members, data engineers play a pivotal role in driving team-level success through the demonstration of the following key attributes:

• Collaborating with Users, Engineers, Designers, and Product Managers to foster ideation and deliver cutting-edge software solutions.
• Employing Test First and Acceptance Criteria Driven approaches to continuously test and deliver high-quality software.
• Designing and developing data pipelines while adhering to industry best practices and standards.
• Ensuring solutions meet non-functional requirements, such as security, performance, maintainability, scalability, usability, and reliability.
• Develop and maintain basic Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) data pipelines in Talend.
• Write and optimize SQL queries for data analysis, data extraction, data manipulation and writing and modifying existing SQL queries for better performance in Snowflake.
• Clean, validate, and transform raw data to ensure quality and integrity.
• Learn and apply techniques in evolving technologies such as Generative and Agentic AI
• Train and assist with data modeling and the management of databases, such as relational and NoSQL databases.
• Help troubleshoot issues with data infrastructure and pipelines as and when Prod support schedules require to be on call rotation.
• Contribute to documenting data workflows and best practices.
• Perform performance tuning and monitoring of data processes.
• Actively pursuing continuous professional growth by staying updated on new development tools, programming techniques, and computing equipment. Engaging in educational opportunities, keeping informed through professional publications, nurturing personal and professional networks, and actively participating in relevant professional organizations.
• Through the successful execution of these responsibilities, the data engineer will make significant contributions to the overall achievements of our team and organization!