Key Duties/Responsibilities: 

• Design, develop, and deploy data strategies and system enhancements for various types of business information including infrastructure, data stores, and business intelligence.
• Serve as the primary point of contact for code management and review.
• Perform a lead role with regard to data infrastructure management and database procedures.
• Provide executive information management reporting.
• Creates and runs complex ad hoc data queries to enable portfolio analysis, establish control groups, and determine business trends.
• Guide design, engineering & product teams towards new technology features.
• Undertake research and learn new methodologies and technologies before bringing this knowledge to the team.
• Work as a member of the team at every stage of the software development life cycle.
• Design solutions write and test code, automating test and deployment.
• Provide input, and influence discussions around best practices and new technologies, helping us to develop an effective basis for future development.

Key Skills/Experience: 

• Bachelor degree in Computer Science, Engineering or similar.
• 2+ years of experience in Python development.  
• Hands-on experience in writing shell scripts on the Unix platform.
• Hands-on experience with Django, Flask, or other Python frameworks.
• Good understanding of server-side templating languages such as Jinja 2, Mako, etc...
• Familiarity with front-end technologies (like JavaScript, HTML5, Reach.JS, CSS3).
• Knowledge of object-relational mapping (ORM) libraries.
• Understanding of REST/JSON and/or SOAP/XML web services, experience in interface design.
• Good knowledge of relational and non-relational databases (PostgreSQL).
• Comprehensive understanding of continuous integration and continuous delivery (CI/CD) tools and systems.
• Experience building and operating software in an AWS cloud.
• Excellent knowledge of English is a must.
• Proficient understanding of software development tools such as GIT source control.
• Strong experience with Data Analysis, Data Profiling, Data Cleansing, Data Reconciliation and Data Integrity using SQL, Shell scripts, and other approved tools.

Key Benefits: 

• Competitive remuneration package.
• Medical Insurance.
• Provident Fund upon successful completion of the probation period.
• Hybrid working options (2 days per week from home).
• 22 days of annual leave.
• In-house and external training.

To apply for this vacancy, please send your CV, along with any covering letter to [email protected] quoting the above job title. Please note that due to the high volumes of applications received only shortlisted applicants will be responded to. By sending us your CV you are giving CareerFinders your consent to be contacted for this and any other suitable vacancies that we believe match your skills and experience. To view our privacy policy, please click www.careerfinders.com.cy/privacy-policy.