AWS Data Engineer

• Help design, build and continuously improve the clients online platform.
  
• Research, suggest and implement new technology solutions following best practices/standards.
  
• Take responsibility for the resiliency and availability of different products.
  
• Be a productive member of the team.
  
  

Requirements

• 5+ years of experience in data engineering, analytics, or backend development
  
• Design, build, and optimize scalable data pipelines and cloud-based data solutions using AWS and Databricks to support advanced analytics and business needs.
  
• Develop and refactor reusable data pipelines leveraging AWS and Databricks
  
• Design and implement data lakes, data warehouses, ETL processes, and backend services for structured and unstructured data
  
• Collaborate with business analysts, data scientists, architects, developers, and stakeholders to deliver fit-for-purpose solutions
  
• Optimize data pipelines for performance, scalability, cost efficiency, reliability, and security
  
• Implement robust testing and monitoring frameworks
  
• Identify and resolve performance bottlenecks, ensuring efficient workload execution
  
• Participate in code reviews and maintain high-quality documentation
  
• Stay updated with emerging data engineering trends and apply best practices
  
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
  
• Hands-on experience with AWS Cloud and Databricks
  
• Strong proficiency in:, Serverless and orchestration workflows (AWS Lambda, Step Functions), Programming and scripting (Python, Bash, Make), Query languages (SQL, SPARQL)
  
• Experience with diverse data models: Relational databases (Amazon Redshift), NoSQL databases (DynamoDB), Object storage (Amazon S3), Graph databases (Amazon Neptune)
  
• Experience with version control and CI/CD tools (Git, GitLab preferred)
  
• Infrastructure as Code experience, preferably using AWS CDK
  
• Strong passion for data engineering and solving real-world problems
  
• Customer-focused and value-driven mindset
  
• Excellent analytical and problem-solving skills
  
• Strong collaboration and communication abilities
  
• Familiarity with Agile/Scrum methodologies
  
• Proactive approach to continuous improvement and innovation
  
  

Benefits

• A challenging, innovating environment.
  
• Opportunities for learning where needed.
  

Skills Required
Git, Amazon S3, Bash, Gitlab, Dynamodb, Amazon Redshift, Sparql, Sql, Aws, Databricks, Python