BIG DATA ENGINEER - Contract

GENERAL DESCRIPTION

We are seeking a passionate Big Data engineer to join our Customer’s 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