Total 545 Senior Executive data entry job vacancies

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Drive AI-Enabled Insights

• Deploy Natural Language Q&A and Copilot-based analytics

• Develop AI-driven use cases (forecasting, anomaly detection, KPI insights)

• Enable business users to access insights independently

Build a Scalable Data Platform

• Design and optimize data pipelines using Microsoft Fabric

• Develop robust data models and Power BI dashboards

• Standardize data architecture across the AP region

Strengthen Data Governance & Trust

• Implement Microsoft Purview for data lineage and governance

• Define data ownership and ensure KPI consistency

• Improve data quality and transparency across systems

Partner with the Business

• Translate business needs into data and AI solutions

• Act as a trusted advisor to management and operational teams

• Drive adoption of data-driven practices

Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling-Experience with Microsoft Fabric / Azure Data Platform preferred

• Exposure to AI tools (Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance (e.g., Microsoft Purview) is advantageous

HOW TO APPLY

Interested applicants, please send your latest resume to kelly.ng(at)trustrecruit.com.sg or click on “Apply Now” and provide the below details in your resume.

Last drawn salary

Expected salary

Notice period

Reason of leaving

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Ng Hui Shan Kelly Reine

EA Personnel Reg No: R25126972

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA Licence No: 20S0237

Role:

Data Pipeline Infrastructure & Architecture:

• Design and implement scalable data architectures on cloud data platforms with high availability, security, and performance.

• Lead development of Data Lakehouse solutions.

• Collaborate with stakeholders to understand requirements and translate them into technical specifications.

• Pipeline Development & Optimisation.

• Build and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks.

• Optimise data processing workflows for performance, cost-effectiveness, and reliability.

• Implement automated data quality checks and monitoring systems to ensure data integrity.

Data Systems Architecting & Solutioning:

• Design and architect comprehensive cloud-native Data & AI solutions aligned with business objectives and technical requirements.

• Lead cloud migration strategies and oversee implementation of complex multi-cloud environments.

• Drive innovation through integration of Data & AI capabilities into HDB’s Data & AI platform product architectures.

• Conduct technical assessments and recommend modernised approaches using cloud native technologies.

• Maintain architectural documentation.

Cloud Platform Operations:

• Leverage Cloud Native Services to build and manage data infrastructure.

• Implement infrastructure as code practices using Terraform.

• Ensure compliance with security standards and data governance policies.

Technical Leadership & Collaboration:

• Mentor junior data engineers and provide technical guidance on complex challenges.

• Participate in architectural reviews and contribute to data strategy evolution.

Requirements:

• Degree in computer science, Information Technology, Computer Engineering, or related field.

• At least 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale.

• Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems.

• Proven ability to translate business requirements into technical solutions.

• Excellent communication skills for presenting complex concepts to diverse audiences.

• Experience with cloud security frameworks, compliance requirements, and risk management.

• Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps).

• Strong knowledge and hands-on experience with SQL, Python and Apache Spark.

• Hands-on experience with Apache Kafka, Airflow, or similar technologies.

• Proficiency in Amazon Web Services (AWS) services is a good to have.

• Relevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage

• Experience with Data & AI cloud-native services (e.g. Amazon SageMaker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core, Amazon Comprehend, Amazon Rekognition and Amazon Textract).

• Familiarity with serverless computing, edge computing, and IoT architectures.

• Experience with machine learning operations (MLOps) and ML model deployment pipelines.

• Knowledge of data governance frameworks and metadata management tools.

• Familiarity with data visualisation tools and business intelligence platforms.

To apply:

Please send your latest CV in MS Word format to jennifer@zenithinfotech.com.sg

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!