Data Engineer responsible for designing and maintaining enterprise data warehouse for various projects. Collaborating with stakeholders to ensure efficient data flow and integration.
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 developing and evolving BI platform for Thomson Reuters in India. Building architectural solutions and collaborating in all development lifecycle aspects.
Data Engineer responsible for building and maintaining AWS Lakehouse infrastructure for trade contractors at Remarcable. Focused on clean data architecture and AI/ML data infrastructure.
Senior Data Engineer joining Reconomy to design, build and optimize data pipelines for an international circular economy specialist.
Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
Medior Data Engineer handling Azure migrations for a major urban mobility client. Focused on data pipeline development and ensuring platform reliability with cutting - edge technologies.
Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
Data Migration Lead in a hybrid role managing data migration for a major transformation programme in the media sector. Collaborating with various teams to ensure data integrity and successful migration.
Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.
Data Engineer developing and maintaining data pipelines for Coolbet’s analytical services. Working within an Agile framework to ensure data reliability and efficiency.