Big Data Engineer (Banking Domain), East Side - Contract

We are seeking a passionate Big Data engineer to join our Global Data Platform team. KEY FEATURES OF THE POSITION • 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 • 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