Big Data Developer
Posted Updated
Summary
Big Data Developer in Singapore who drives development projects for big data platforms: translating business requirements into technical designs and FSD docs, following TDD/CI best practices, and ensuring production stability. Core stack includes HDFS, Trino, S3, Python, SQL (MSSQL/Oracle/Postgres), Git, and CI/CD pipelines.
We are hiring for our project requirement in singapore
Responsibilities
Drive development projects for big data platforms. Understand system and functional requirements andtranslate 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, securityand performance). Participate in reviews and meetings and provideupdates on project progress Take responsibility for ensuring that risks and issuesare identified and managed closely and drive all stakeholders to deliver ontime and to the required quality standards Ensure production stability and timely communicationwith stakeholders REQUIREMENTS
Bachelor's degree in Computer Science, InformationTechnology, or related field At least 5 years of experience in big data engineering Excellent knowledge and working experience of Big dataplatform and related technologies - HDFS, Trino, S3 bucket Experience with programming languages like Python Experience with CI / CD pipelines, codevulnerabilities Experience of working with various IDEs Excellent understanding of data management, datadesign and data architecture Working experience of SQL (MSSQL, Oracle, Postgres) Knowledge of basic Linux shell scripting commands Strong understanding of software development lifecycles, Agile methodologies, and version control systems like Git Excellent problem-solving skills, with the ability toanalyse complex issues and develop creative solutions Strong communication and collaboration skills, withexperience working with cross-functional teams Detail-oriented mindset with the ability to managemultiples tasks and prioritize effectively Proactive, collaborative, and customer-focusedapproach to solving problems and driving adoption Passion for enabling a data-driven culture andempowering users thought data solutions
Drive development projects for big data platforms. Understand system and functional requirements andtranslate 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, securityand performance). Participate in reviews and meetings and provideupdates on project progress Take responsibility for ensuring that risks and issuesare identified and managed closely and drive all stakeholders to deliver ontime and to the required quality standards Ensure production stability and timely communicationwith stakeholders REQUIREMENTS
Bachelor's degree in Computer Science, InformationTechnology, or related field At least 5 years of experience in big data engineering Excellent knowledge and working experience of Big dataplatform and related technologies - HDFS, Trino, S3 bucket Experience with programming languages like Python Experience with CI / CD pipelines, codevulnerabilities Experience of working with various IDEs Excellent understanding of data management, datadesign and data architecture Working experience of SQL (MSSQL, Oracle, Postgres) Knowledge of basic Linux shell scripting commands Strong understanding of software development lifecycles, Agile methodologies, and version control systems like Git Excellent problem-solving skills, with the ability toanalyse complex issues and develop creative solutions Strong communication and collaboration skills, withexperience working with cross-functional teams Detail-oriented mindset with the ability to managemultiples tasks and prioritize effectively Proactive, collaborative, and customer-focusedapproach to solving problems and driving adoption Passion for enabling a data-driven culture andempowering users thought data solutions