About this role
The team is seeking a skilled Cloud Data Engineer to architect, develop, and optimize robust AI data solutions on cloud platforms. This role is pivotal in building and maintaining the foundational AI and Data infrastructure that supports scalable, secure, and high-performance applications for the business.
Key Responsibilities:
- Engineer technical solutions that meet business requirements.
- Produce clean, maintainable, and efficient code.
- Develop and optimize data pipelines and data models.
- Collaborate with cross-functional teams to define and implement data strategies.
- Ensure successful delivery of software solutions aligned with business goals.
- Monitor and troubleshoot data infrastructure to ensure high availability and performance.
Required Skills & Qualifications:
- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
- Strong experience with data engineering tools and frameworks (e.g., Apache Spark, Hadoop).
- Knowledge of programming languages such as Python, Java, or Scala.
- Experience with database technologies (SQL and NoSQL).
- Familiarity with AI and machine learning concepts.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- Opportunity to work on cutting-edge technology in a dynamic environment.
- Collaborative team culture with a focus on innovation.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.