As part of our Data and Analytics team of Financial Services Consulting practice you will work with multi-disciplinary teams to support clients in a wide range of big data initiatives aiming to generate and present new, useful and actionable insights. You will have the opportunity to work and take responsibilities in challenging engagements, gaining exposure to clients in various sectors both in Singapore and in the APAC region.
Your Key Responsibilities
Participation in large-scale client engagements.
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Excellent understanding of testing best practices (manual and automated) : You will be involved in building and enhancement for new QA manual and automated tests (UI, data and services) and able to identify where tests should be automated.
Requirements
Bachelor/Master degree in Computer Science or Software Engineering.
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Collaborate with other departments, including IT, product management, and business teams, to understand their requirements and ensure that the software engineering framework and common libraries meet their needs.
Monitor industry trends and emerging technologies to identify opportunities for improvement and to stay ahead of the curve in software development practices.
Develop and implement strategies to ensure the scalability and sustainability of the software engineering framework and common libraries as the company grows and evolves.
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Collaborate with other departments, including IT, product management, and business teams, to understand their requirements and ensure that the software engineering framework and common libraries meet their needs.
Monitor industry trends and emerging technologies to identify opportunities for improvement and to stay ahead of the curve in software development practices.
Develop and implement strategies to ensure the scalability and sustainability of the software engineering framework and common libraries as the company grows and evolves.
...
Collaborate with other departments, including IT, product management, and business teams, to understand their requirements and ensure that the software engineering framework and common libraries meet their needs.
Monitor industry trends and emerging technologies to identify opportunities for improvement and to stay ahead of the curve in software development practices.
Develop and implement strategies to ensure the scalability and sustainability of the software engineering framework and common libraries as the company grows and evolves.
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Lead a team of software engineers and frameworks specialists to drive innovation and continuous improvement in software development practices.
Define and maintain a collection of common libraries that can be used across different projects to improve code quality, productivity, and maintainability.
Collaborate with other departments, including IT, product management, and business teams, to understand their requirements and ensure that the software engineering framework and common libraries meet their needs.
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Are you ready to embark on a journey where your expertise shapes the future of data analytic? We're seeking a dynamic Data Engineer to revolutionise our data infrastructure and drive breakthrough performance results. As a crucial member of our team, you'll collaborate with cross-functional teams to optimize data flow, collection, and architecture, ensuring unparalleled accuracy and quality.
Job Description
Design and maintain optimal data pipeline infrastructure.
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Monitor and troubleshoot data quality issues, resolve data anomalies, and perform data validation to maintain the accuracy and consistency of data.
Create and maintain documentation for ETL workflows, data mappings, and data models to support ongoing data governance efforts.
Work closely with data analysts and business stakeholders to define data requirements, perform data analysis, and support data-driven decision-making.
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Monitor and troubleshoot data quality issues, resolve data anomalies, and perform data validation to maintain the accuracy and consistency of data.
Create and maintain documentation for ETL workflows, data mappings, and data models to support ongoing data governance efforts.
Work closely with data analysts and business stakeholders to define data requirements, perform data analysis, and support data-driven decision-making.
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Monitor and troubleshoot data quality issues, resolve data anomalies, and perform data validation to maintain the accuracy and consistency of data.
Create and maintain documentation for ETL workflows, data mappings, and data models to support ongoing data governance efforts.
Work closely with data analysts and business stakeholders to define data requirements, perform data analysis, and support data-driven decision-making.
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Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and establish data mappings.
Evaluate and optimize ETL processes to ensure efficient data extraction, transformation, and loading operations.
Monitor and troubleshoot data quality issues, resolve data anomalies, and perform data validation to maintain the accuracy and consistency of data.
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Working in highly collaborative teams and building quality code
The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
The candidate must have a good understanding of consumer financial products,
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We are growing our Data & Analytics team in FSO and now is an exciting time to join us on this journey. We are looking for Data Engineers who are passionate about technology & data with financial services experience, to join our diverse team. Whether you are a Consultant at the start of your career through to Manager looking for your next role across the whole breadth and depth of Data & Analytics, we would love to talk to you.
Your key responsibilities
Ability to clearly explain data and analytics strengths and weaknesses to both technical and senior business stakeholders
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