Big Data Developer

GENERAL DESCRIPTION
We are seeking a passionate Big Data engineer to join our Global Data Platform team.

KEY FEATURES OF THE POSITION
Functional / Technical

• Drive development projects for big data platforms.
• Understand system and functional requirements and translate them into technical implementations.
• Translate business requirements to FSD documentation.
• Adopt best practices like Test-Driven Development (TDD) and continuous Integration (CI)
• Ensure adherence to standards (incl. code, security and performance).
• Participate in reviews and meetings and provide updates on project progress
• Take responsibility for ensuring that risks and issues are identified and managed closely and drive all stakeholders to deliver on time and to the required quality standards
• Ensure production stability and timely communication with stakeholders

SKILLS REQUIREMENTS OF THE POSITION
Technical Skills

• Bachelor's degree in Computer Science, Information Technology, or related field
• At least 5 years of experience in big data engineering
• Excellent knowledge and working experience of Big data platform and related technologies – HDFS, Trino, S3 bucket
• Experience with programming languages like Python
• Experience with CI / CD pipelines, code vulnerabilities
• Experience of working with various IDEs
• Excellent understanding of data management, data design and data architecture
• Working experience of SQL (MSSQL, Oracle, Postgres)
• Knowledge of basic Linux shell scripting commands

Professional Skills

• Strong understanding of software development life cycles, Agile methodologies, and version control systems like Git
• Excellent problem-solving skills, with the ability to analyse complex issues and develop creative solutions
• Strong communication and collaboration skills, with experience working with cross-functional teams

Personal and Social

• Exceptional communication skills to interact with both technical teams and business stakeholders.
• Detail-oriented mindset with the ability to manage multiples tasks and prioritize effectively
• Proactive, collaborative, and customer-focused approach to solving problems and driving adoption
• Passion for enabling a data-driven culture and empowering users thought data solutions