Inspira is seeking to build scalable data platform solutions and empower engineers to build smarter platforms where human expertise is amplified by AI tools, aiming to accelerate development workflow, improve code quality, and solve complex problems more efficiently.
Requirements
- Proficiency in programming languages such as SQL/T-SQL, Python is essential.
- Knowledge and competence with relational and noSQL databases (e.g., SQL Server, MongoDB) including proficiency with Data Definition Languages, Data Mark-Up Languages and ability to design and create database tables, views, functions and stored procedures
- Design and implement OLAP databases to serve internal and external consumer use cases
- Design and implement resilient and performant data pipeline and transformation processes
- Design and implement hybrid data cloud services, leveraging public could providers (i.e. Azure) and specialty providers (i.e. Snowflake)
- Experience working in Hybrid and Cloud based environments where essentially all things are handled “as code” and promoted via automated pipelines which incorporate audit, quality, and security controls.
- Platform/Framework (Snowflake, Azure MSSQL)
Responsibilities
- Designing and developing data pipelines while adhering to industry best practices and standards.
- 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.
Other
- 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.
- Ensuring solutions meet non-functional requirements, such as security, performance, maintainability, scalability, usability, and reliability.
- Actively pursuing continuous professional growth by staying updated on new development tools, programming techniques, and computing equipment.
- 0-2 years of experience in Data Engineering.
