Total 4,208 data entry clerk job vacancies

Job Objective:
Develop and deliver scalable ETL/ELT solutions across Teradata and Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities. Ensure efficient data processing, performance optimization, and reliable integration of enterprise data sources, while supporting data warehouse, CDC, and MDM initiatives.

Responsibilities

• Create EDW ETL/ELT codes using Teradata SQL, Informatica, Apache Spark, QueryGrid, Trino to perform various transformations and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control 
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable
• Install and build Master Data Management (MDM) application for various user uploads along with data validations and approval workflow.

Requirements:

• Strong handson experience with the ETL(Informatica Power Center) and Teradata based ETL development, similarly Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
• Create EDW ETL/ELT codes using Teradata SQL, Informatica, apache Spark, QueryGrid, Trino to perform various transformation and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control 
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable

We are looking for a talented Data Scientist to join a growing team within a global technology organisation, helping shape the future of AI quality operations. This role sits at the intersection of LLM / AI, data science, and quality engineering, ensuring that AI systems deliver reliable, accurate, and high-quality outputs at scale.

This is a high-impact role supporting systems used by millions of users globally, where data integrity and model reliability are critical.

About the Role

You will be responsible for validating and improving outputs from LLM and machine learning models, while building scalable systems to ensure data quality and model reliability. Working closely with cross-functional teams, you will apply statistical methods, automation, and engineering best practices to strengthen AI quality processes.

Key Responsibilities

• Audit and validate AI/LLM model outputs to ensure accuracy, consistency, and relevance
• Design and implement data quality metrics, sampling strategies, and audit frameworks
• Perform statistical analysis and anomaly detection to identify risks and improve output quality
• Build and enhance automation tools, dashboards, and self-serve platforms for quality monitoring
• Develop Python-based solutions to process, evaluate, and improve data reliability
• Collaborate with data engineering, product, and operations teams to ensure high-quality datasets and workflows
• Identify risks, propose action plans, and continuously improve quality control processes
• Contribute to building scalable systems for large-scale AI validation and monitoring

Key Requirements

• Proven experience as a Data Scientist with strong foundations in statistics and data analysis
• Hands-on experience working with or validating LLM / ML models in production environments
• Strong proficiency in Python (e.g. Pandas, NumPy, Scikit-learn) and SQL
• Experience applying statistical methods for validation, experimentation, or anomaly detection
• Demonstrated ability to build tools, automation workflows, or data pipelines
• Solid understanding of data quality, risk identification, and validation methodologies

Preferred Skills

• Experience with LLM / agentic AI frameworks (e.g. RAG pipelines, embeddings, evaluation techniques)
• Experience building self-serve tools, dashboards, or internal platforms (e.g. Flask, Streamlit, Tableau, Power BI)
• Exposure to advanced statistical models or machine learning techniques
• Experience working within large-scale, service-oriented or high-volume data environments
• Strong problem-solving skills with a focus on scalability and risk mitigation

Why Join Us?

• Work at the forefront of AI validation, LLM quality, and data reliability
• Build airtight, scalable systems that directly impact products used by millions
• Join a fast-moving, high-impact team spanning data science, AI, and engineering
• Collaborate with global stakeholders across data, search, and AI domains

We regret to inform that only shortlisted candidates will be notified.

EA Registration No.: R2414837, Garey Gan Chia Wen

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

Keyrus is looking for a Data Architect to join an exciting data-driven environment where you'll help build scalable data platforms, enable real-time business insights, and drive data quality across the organization.