Total 41 data entry job vacancies in D02 Anson, Tanjong Pagar

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Candidates without prior experience are welcome to apply as on the job training would be provided.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Key Responsibilities

• Build and maintain scalable data pipelines using Python
• Write production-grade Python code specifically for data processing, transformation, and ETL workflows
• Perform data cleaning, preprocessing, and feature preparation for analytics and AI use cases
• Use data analysis and manipulation tools to handle large datasets efficiently
• Develop reusable Python modules for data ingestion and pipeline automation
• Perform exploratory data analysis (EDA) to understand data patterns and quality issues
• Optimize data workflows for performance, scalability, and reliability
• Support data requirements for AI/ML and Generative AI systems
• Build data services and APIs to support downstream AI applications
• Ensure data quality, consistency, and observability across pipelines

Must have skills:

Python & Data Libraries (Hands-on Experience Mandatory)

Candidates must have solid practical experience with:

• Pandas — data manipulation, transformation, and analysis
• NumPy — numerical operations and array-based processing
• Matplotlib — data visualization and reporting
• scikit-learn — basic ML workflows and model evaluation
• PyTorch — deep learning and AI model experimentation

AI / Generative AI Enablement

• Prepare and structure datasets for ML and LLM-based systems
• Support integration of AI models into data pipelines and applications
• Enable workflows for Generative AI use cases (RAG systems, agent workflows)
• Work with multiple AI model providers:
• OpenAI
• Anthropic
• LLaMA
• Mistral
• Exposure to AI orchestration frameworks such as LangChain, AutoGen, and CrewAI

Core Requirements

• Solid hands-on Python coding expertise focused on data systems (critical requirement)
• Ability to write clean, efficient, production-grade Python code
• Thorough understanding of data structures, ETL pipelines, and data workflows
• Experience working with large-scale structured and unstructured data
• Solid SQL skills for data extraction and manipulation
• Understanding of data modeling and analytics workflows
• Ability to support end-to-end data-to-AI pipelines

Good to Have

• Experience with big data or distributed processing systems
• Understanding of vector databases and embedding-based retrieval systems
• Experience building APIs or services for data/AI systems
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Exposure to production monitoring and data observability tools

Reporting into the Supply Chain Services Manager, Supply Chain Services Team is responsible for the design, deployment and adherence to key systems, tools and processes used by our client’s Global Supply Chain Teams. As a key member of this dedicated team, you’ll play a vital role in managing and enhancing these systems and processes, ensuring that they effectively empower our client’s Global Supply Chain operations.

As a key member of the team, you will ensure the seamless operation and improvement of our client’s Supply Chain Services Programs. Reporting directly to Supply Chain Services as an individual contributor, you will play a pivotal role in maintaining, supporting, and advancing our client’s applications.

Job Responsibilities

Maintenance and Support

• Develop new and maintain or update existing Power Apps and Power Automate flows for peak performance.

• Keep a close eye on application health, addressing issues swiftly and implementing enhancements.

• Identify and evaluate opportunities for improvement, ensuring accuracy in data and reports.

Issue Resolution

• Provide expert assistance to associates using Power Apps, Power Automate flows, Power BI, and SharePoint.

• Diagnose and resolve application issues promptly, documenting solutions for future reference.

User Training and Documentation

• Empower associates by training them on Supply Chain tools and applications.

• Develop and maintain user guides, FAQs, and conduct training sessions to ensure user proficiency.

Collaboration

• Work closely with the Program Lead to align on application requirements and updates.

• Participate in team meetings, contributing to the enhancement of processes and tools.

Compliance

• Ensure all activities comply with company policies and procedures.

Requirements:

• Proficiency with Power BI, Power Apps, and Power Automate.

• Innovative approach to solving complex enterprise challenges.

• Ability to convey technical information to non-technical users.

• Meticulous approach to data accuracy and application performance.

• Good foundational skills in HTML/CSS.

• Deep understanding of best practices in database management.

• Skills in SQL DB, Data Engineering, Data Analytics & python programming.

• Excellent stakeholder management and communication abilities.

• Solid grasp of analytical tools.

• Quick learner, adept at adjusting to new technologies and requirements.

• Knowledge of key business processes within supply chain is a plus.

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

• 3+ years of experience as a Data Analyst, BI Analyst, Reporting Analyst, or similar role.

• Strong analytical skills and ability to work with complex datasets.

• Good SQL skills for querying, validating, and analysing data.

• Experience with reporting and dashboard tools such as Power BI, Tableau, Qlik, or equivalent.

• Good understanding of data quality, data validation, metrics definition, and business rule documentation.

• Experience working with business users to clarify requirements and translate them into reports or dashboards.

• Familiarity with data models, reporting tables, and data pipelines is advantageous.

• Experience in enterprise, public sector, healthcare, or regulated environments is advantageous.

• Strong communication skills and ability to explain data clearly to both technical and non-technical stakeholders.

5+ years of experience in data migration, data conversion, data quality, or data management projects.

• Experience supporting migration from legacy systems to modern enterprise applications, data platforms, or cloud-based solutions.

• Strong understanding of data profiling, source-to-target mapping, data cleansing, data transformation, reconciliation, and validation.

• Experience working with relational databases such as Microsoft SQL Server, PostgreSQL, Oracle, MySQL, or equivalent.

• Familiarity with ETL, ELT, or data processing tools such as Python, SSIS, Informatica, Talend, AWS Glue, or equivalent.

• Ability to work with technical teams to validate migration logic, transformation rules, migration jobs, and exception reports.

• Experience preparing clear migration documentation, data mapping specifications, cutover plans, validation reports, and reconciliation summaries.

• Strong analytical, problem-solving, and stakeholder management skills.

• Ability to communicate data issues clearly to both technical and non-technical stakeholders.

• Experience working in large-scale, secure, regulated, or public sector environments is advantageous.

• Perm with VB
• Experience in data analytics within Sales & Marketing / Customer Service will be advantageous.
• Preferably with prior CRM, customer experience, customer service operations experience.
• Comfortable working with data, CRM systems (e.g., Salesforce), and cross-functional stakeholders.

Key Responsibilities

• Manage and support customer loyalty and ownership benefit programmes, including coordination with partners and customer onboarding.
• Support customer satisfaction initiatives, including NPS and mystery shopping programmes, identify service gaps, and coordinate improvement actions with internal stakeholders.
• Oversee Customer Relationship Management (CRM) and customer feedback processes, ensuring timely acknowledgement, tracking, escalation, and closure of customer cases through CRM systems.
• Act as a key coordination point for customer feedback across multiple internal functions, including Sales, Service, Operations, Management, and external stakeholders.
• Maintain and manage customer databases, ensuring data accuracy, compliance with data privacy requirements, and effective use of CRM tools.
• Analyse customer data and feedback to support CRM and customer experience improvements.
• Provide operational and administrative support for marketing initiatives, customer engagement activities, and events.
• Support ad-hoc projects and responsibilities as assigned.

Requirements

• Diploma or Degree in Business, Marketing, Communications, Data Analytics, or a related discipline.
• Prior experience in CRM, customer experience, customer service operations, or data analytics will be advantageous.
• Comfortable working with data, CRM systems (e.g., Salesforce), and cross-functional stakeholders.
• Strong communication, coordination, and organisational skills.
• Detail-oriented with the ability to manage multiple priorities in a fast-paced environment.

Triton AI Pte Ltd

Registration Number: R1975181

EA: 21C0661

Responsibilities

• Develop and execute account strategies to drive revenue growth and strengthen long-term customer partnerships

• Act as the primary point of contact for assigned key accounts, ensuring high levels of engagement and satisfaction

• Build strong, consultative relationships with key stakeholders including consultants, data center owners, and decision-makers

• Identify customer pain points and collaborate internally to deliver tailored technical and commercial solutions

• Manage and track sales pipeline, account performance, and key business metrics

• Promote and position chiller, CDU, FWU, and controls solutions to data center consultants and end-users

• Support tender activities, including bid submissions, specification reviews, project scoping, and value engineering proposals

• Drive contract negotiations, renewals, and periodic business reviews with clients

• Coordinate cross-functionally with sales, engineering, service, operations, and finance teams to ensure successful project delivery

• Deliver technical presentations, product briefings, and “lunch & learn” sessions to consultants and end-users

• Maintain strong awareness of industry trends, competitor landscape, and data center developments

• Support competitive positioning and go-to-market strategies for the company’s data center solutions portfolio

• Prepare sales forecasts, reports, and strategic insights for management

Requirements

• Degree in Mechanical / Electrical Engineering or equivalent

• Minimum 3 years of experience in account management, sales, or customer-facing roles within HVAC / data center / building services industry

• Proven experience in solution selling to consultants, contractors, or end-users

• Strong communication, negotiation, and presentation skills

• Ability to manage multiple complex accounts and projects simultaneously

• Experience working cross-functionally with engineering, service, and commercial teams

• Familiarity with data center cooling solutions (e.g. chiller, liquid cooling, controls) is a strong advantage

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to leo.tang(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

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Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tang For Farn (Leo)

EA Personnel Reg No: R24121981