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Data Engineer
1 month ago
Main Function:
As a Data Engineer, you will be responsible for enhancing and maintaining data systems, automating processes, optimizing data delivery, and ensuring the scalability of technology. You will work with a wide range of tools and tech, building large and complex data sets, improving data pipelines, and supporting reporting and analytics infrastructure.
Culture:
Join a team of over 80+ highly skilled technical professionals, working in a flexible, collaborative, and growth-focused environment. Youll have access to world-class resources and development opportunities, while enjoying the autonomy to expand your skills in an ever-evolving field.
Qualifications:
- BSc Degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience)
- 3+ years of related work experience
- Minimum of 2 years' experience building and optimizing big data data pipelines and architectures
Requirements:
- Strong proficiency in Python and SQL (PostgreSQL, MS SQL)
- Experience with cloud services: AWS, Azure, or GCP
- Proficiency in version control, CI/CD, and GitHub
- Experience with Glue and PySpark (highly desirable)
- Understanding of data lifecycle management, data quality assurance, and governance
- Familiarity with message queuing, stream processing, and big data stores
KPAs:
- Suggest and implement improvements in data processes and automation
- Enhance data systems and streamline data delivery
- Assemble and maintain large, complex data sets that meet business requirements
- Develop and maintain data pipelines, monitoring solutions, and documentation
- Ensure data consistency, quality, and governance across systems
- Support reporting and analytics infrastructure
Our Tools & Tech:
- Python
- SQL
- PySpark
- AWS
- Airflow
- Docker
- Terraform
Apply now