Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
About the role
- Full Stack Software Engineer building cloud-based applications for R&D's field automation team. Collaborating in an agile environment to enhance connectivity and efficiency in agricultural technologies.
Responsibilities
- Work in an agile development environment to build and support full-stack cloud-based applications.
- Work with development lead and stakeholders to manage project priorities, deadlines, and deliverables.
- Interact directly with business customers to gather and understand requirements and how they translate in application features.
- Conduct functional and non-functional testing.
- Troubleshoot and debug applications.
- Deploy applications across all environments in collaboration with development team, product management, and delivery.
- Champion code quality including unit and integration testing.
- Evaluate existing applications to refactor, update and add new features.
- Develop any technical documentation needed to accurately represent application design and code.
- Adhere to established and modern data security practices.
- Provide guidance for technical design and architecture decisions within the team.
- Participate in the evaluation and selection of new technologies.
- Mentor other people and teams on technologies, techniques or standards across the organization.
Requirements
- Bachelor’s degree in computer science, computer engineering, or equivalent experience.
- 3+ years of experience developing REST APIs in a modern programming language/technology such as TypeScript or JavaScript.
- 3+ years of experience developing single/multi-page web-based UI’s.
- 2+ years of experience working with relational/NoSQL database technologies and abstraction tools.
- 2+ years of experience developing in the AWS ecosystem and practical experience with Lambda, ECS, EC2, S3, IAM, RDS.
- Practical experience architecting and designing full-stack software systems.
- Practical experience and knowledge of software development best practices.
- Demonstrable technical leadership.
- Demonstrable ability to manage ambiguity.
- Excellent written and verbal communication skills to technical and non-technical audiences.
- Experience developing IoT tech. or distributed systems generating large amounts of data. (Desirable)
- Practical experience developing applications or scripting in Python 3 (Desirable)
- Experience with asynchronous, event driven technologies such as Kafka and RabbitMQ (Desirable)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.