JOB DESCRIPTION

Job Title

Data Engineer (Teradata FSLDM)

Occupation

DATA ENGINEER

Job Description & Requirements

About the Client:

Our client is a multinational Bank

Responsibilities:

• Design, develop, and implement Teradata database solutions.
• Map source system attributes to targets within the FSLDM.
• Map FSDLM structures to target structures in downstream data marts.
• Create and optimize SQL queries for efficient data retrieval and manipulation.
• Work on database modeling, indexing, and partitioning to ensure optimal performance.
• Develop and maintain ETL processes using tools like Teradata Utilities (Fast Load, MultiLoad, BTEQ, etc.).
• Collaborate with data architects and other teams to ensure seamless data integration across different platforms.
• Identify and resolve performance bottlenecks in Teradata databases.
• Contribute to the design and maintenance of data warehouse structures.
• Implement data warehousing best practices and standards.
• Implement and maintain data security measures, including access controls and encryption, to ensure data integrity and confidentiality.
• Provide support for Teradata-related issues, troubleshoot problems, and implement solutions.

Requirement:

• In-depth knowledge and hands-on experience with Teradata database technologies.
• Good understanding of Financial logical Data Model Teradata (FSLDM).
• Proficient in writing and optimizing complex SQL queries.
• Experience with Teradata utilities such as FastLoad, MultiLoad, BTEQ, and other ETL tools.
• Familiarity with data modeling concepts and the ability to design efficient database structures.
• Experience in customizing the FSLDM model.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

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Data Engineer

Job Purpose

This role is responsible for the design, development, testing, implementation and maintenance of data integration and data management solutions.

Job Requirement

• At least 10 years of IT working experience, with 6 years strong experience in Informatica as ETL Architect/Lead and 2 years leading remote team.
• Solid SQL skills, including experience querying and tuning large, complex data sets and performance analysis
• Knowledge in Python
• Azure Data Factory, or Azure synapse analytics or Fabric Data Pipelines
• knowledge in MQuery or Dataflow Gen2
• Strong knowledge in ETL implementation from source APIs to target data stores like Azure, Amazon S3 and on-premises storage
• Good knowledge in network and/or operating systems
• Certification in Microsoft Certified Fabric Analytics Engineer Associate preferred
• Data security, protection or privacy related certification is bonus

Responsibilities:

• Drive requirements gathering workshops to study as-is systems and processes and identify gaps between proposed design and gathered requirements
• Responsible for the high-level and detailed technical solution and design in adherence to data management and organization’s IT policies
• Responsible for the design, development, testing and implementation of data integration and data management solutions
• Responsible for data profiling and data quality improvement recommendation
• Lead technical members from different teams to deliver the end-to-end solution that meets time, scope and quality requirements
• Work with data engineers, data analysts and data scientists in the implementation of analytics solutions
• Work with OLTP systems and Enterprise Integration teams in the implementation of end-to-end data integration solutions.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

JLL’s mission is to enable our teams to deliver future proof, consistent, scalable, customer centric services and experiences.

At JLL, we value what makes you unique, and we’re committed to giving you the opportunity, knowledge and tools to own your success. Explore opportunities to advance your career from within, whether you’re looking to move up, broaden your experience or deepen your expertise.

As the business continues to grow, the Data Analytics Engineer role will help underpin the business transformation. It will support steering the technical ship from a data, insights and reporting perspective. It will be heavily business facing and will be highly regarded internally.

As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

We are looking for a Data Analytics Engineer working in the Business Intelligence area:

• with hands-on experience in Business Intelligence tools and databases
• problem solver with strong analytical skills
• with experience in solutions delivery for both internal and external clients
• experience in using visualisation software like Tableau, Power BI, Google Looker Studio for development
• experience with data modelling / transformation, ETL (Extract Transform Load) development (SQL)
• Experience with data storage solutions such as BigQuery, DataBricks, SQL Server
• Experience with data analytics in cloud platforms like GCP or Azure.

Responsibilities:

• Data Ingestion: Design and implement efficient data ingestion pipelines to extract data from JLL Data Warehouse and other sources. Leverage SQL, APIs, Azure/GCP functionalities, and other relevant tools to extract, transform, and load data for analysis.
• Data Transformation: Transform and clean data to ensure data quality and consistency.
• Data Loading: Load transformed data into Google Cloud Platform (GCP)
• Data Modeling: Develop data models to support reporting and analytics.
• Data Pipeline Optimization: Monitor and optimize data pipelines for performance and reliability.
• Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs.

Requirements:

• Technical Skills: Strong proficiency in SQL, Python, and GCP data services
• Cloud Experience: Experience with cloud platforms, particularly GCP.
• Data Warehousing: Knowledge of data warehousing concepts and best practices.
• ETL/ELT: Experience with ETL/ELT processes and tools.
• Data Modeling: Ability to design and implement data models.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication Skills: Effective communication skills to collaborate with technical and non-technical stakeholders. Fluency in English is essential.

What you can expect from us:

• We succeed together and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
• Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.

Great Opportunity for a Data Protection/Data Privacy/Data Loss Prevention specialist to join an international bank as a Data Protection Officer covering the APAC region

Job Description:

Direct Responsibilities

• Contribute to relevant personal data protection activities realization
• Guarantee required norms and methods definition and application to a company’s good data protection risks apprehension (follow-up of projects, information systems adaptation, declarations conception and maintenance, subcontractors contracts analysis, follow-up on control plans reporting, etc.)
• Guarantee advice and assistance to strategical program ongoing.
• Support the implementation of the privacy strategy defined by APAC DPO
• Assist the APAC DPO in the supervision and monitoring of implementation of the Group's Data Protection policies and guidelines, bearing the local regulatory requirements in mind, to ensure consistency
• Define action plans and corrections related, and to ensure application of the same
• Alert APAC DPO when activity is under operational risk (non-appropriateness between needs and resources, etc.), to propose correction solutions and to implement those solutions
• Contribute to continuous efficiency improvement and to any optimization process.
• Contribute to operational activities achievement
• Adjudicate or mediate APAC DPO engaging decisions, emergencies and escalated issues
• Contribute to permanent control actions
• Contribute to perform LOD2 controls and challenge LOD1
• Contribute to perform the check and challenge of the RCSA
• Contribute to RISK ID exercise
• Contribute to OR&C report
• Ensuring professional network development
• Participate in local Data Protection Committees when requested by the DPO
• Contribute to Internal Control Committee
• Collaborate with local CROs and RISK teams

Supporting Responsibilities

• Assist the DPO on exchanges with the authorities in charge of the protection of personal data under the responsibility of the DPO
• Assist the DPO in the supervision and implementation of Privacy by Design principles throughout the lifecycle of all projects, activities, products, services, processes and systems
• Contribute to role development by validating data protection requirements for new activities, new products, services or specific operations, and to carry technical assistance
• Receive, process and advise internal and external local solicitations about data protection
• Receive, process and advise requests from data subjects, subcontractors and partners etc.
• Itemise existing processes and identify breaches regarding data protection requirements (APAC local regulation & GDPR requirements)
• Contribute to perform risk assessment on personal data breaches
• Assist the DPO in monitoring documentation, e.g. the RoPA (Register of Processing Activities)
• Contribute to the identification and notification process for data protection violations according to defined procedures and local legal requirements
• Realize effectiveness for data protection controls and to ensure expected reporting
• Ensure regular reporting to APAC DPO about the activity
• Assist the DPO, where required, with local language nuances, law and practices.
• Contribute in the creation and implementation of awareness programs and to the promotion of a culture of protection of personal data within the scope of responsibility.

Job Requirements:

• Degree holder in legal, business or computer science or IT
• At Least 5 years of relevant experience in IT risk, Cyber security, Data Protection and related regulatory topics
• CIPP Certification or similar privacy certificate would be a plus
• Good understanding of EU GDPR with IAPP/E certification
• 3-5 years relevant working experience in privacy is a minimum
• 5-8 years of total working experience
• Previous APAC or cross-territory experience preferred
• Experience in senior level reporting and discussion

Job Title: Senior Data Administrator (Senior Database Administrator)

About the Role

We are looking for a skilled and experienced Senior Database Administrator .

The ideal candidate will play a critical role in managing and maintaining databases, ensuring their performance, reliability, and security. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate with a dynamic team.

Key Responsibilities

1. Database Monitoring & Management:Monitor database storage, utilization, and growth.
   Identify and resolve performance or capacity issues and provide recommendations.
   Conduct regular maintenance to ensure optimal database health.
   
2. User Management:Manage user accounts, access rights, roles, and profiles.
   
3. Backup & Recovery:Plan, perform, and validate database backups.
   Conduct annual restoration exercises.
   
4. Database Operations:Deploy database scripts and manage objects.
   Perform reorganizations, upgrades, and patch management.
   
5. Monitoring & Troubleshooting:Monitor alerts and logs; perform first-level troubleshooting when required.
   
6. Documentation & Compliance:Document and maintain SOPs and administration guides.
   Conduct disaster recovery tests as per customer requirements.
   

Requirements

Mandatory Skills:

• Proficiency in Azure and AWS RDS, MSSQL, and Oracle databases.

Experience:

• 5+ years in MSSQL administration.
• 3+ years in Oracle Database administration.
• 3+ years of exposure to Azure and AWS RDS databases.

Certifications:

• MSSQL: Microsoft Certified Solution Associate (SQL Database Administration).
• Oracle: Oracle Database Administrator Certified Professional.

2. Position Title: Senior Data Engineer

Experience Required: 5-10 Years

Position Summary:
We are seeking an experienced Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will have a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies. Candidates with proficiency in Python, Java, and shell scripting are highly preferred.

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.
• Writing SQL queries to retrieve information quickly.
• Fulfil ad-hoc data request from client and management.
• Work / Collaborate with Developer(s) to automate reports
• Liaise with client on data related queries
• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to inform operational improvements and strategy.
• Collaborate with management and other departments to develop actionable insights and recommendations.
• Support the implementation of process improvements based on data findings.
• Ensure data integrity and accuracy.
• Assist in forecasting demand and capacity planning based on historical data trends.
• Stay updated on industry best practices and emerging technologies in data analysis.
• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:
• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.
• At least 1 to 3 year of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).
• Proven experience in data analysis, preferably in a contact center environment.
• Strong communication and presentation skills
• Proactive and able to work independently with minimum supervision.
• Excellent time management with strong critical thinking and ability to handle pressure.
• Detail-oriented with a strong focus on accuracy and data integrity.
• Familiarity with statistical analysis and modeling.

ideally candidates who have contact center experience

working location at Suntec

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

Job Purpose

The Customer Analytics, Reporting and BI team manages data projects, data pipeline and data analytics to maximize the potential of data, uncovering valuable business insights for Group Customer and Digital Division. Leveraging advanced data analytics and visualization, the team enables senior stakeholder to interpret the story behind the number, driving more informed strategies and initiatives.

The Senior Analyst (Data Analytics & Visualisation) plays a pivotal role in managing and enhancing the data analytics assets, which are used to monitor business performance, identify business opportunity and enable data-driven business decision. This role collaborates closely with key stakeholders across multiple departments to apply advanced analytics to generate value-creating insights from big data. The ideal candidate is passionate about creating business impact by using their data expertise and industry experience.

The Job

· Design, build and enhance data analytics assets to ensure relevance and continued usage of the analytics and business intelligence by business users for making informed decisions.

· Support the build of contextual data marts to advance the scalability and reusability of visual and advanced analytics assets.

· Collaborate with business and Group Data independently to manage the entire dashboard development cycle - from gathering and proposing business requirement, designing dataflow and data structure, to developing dashboard and managing the schedule of release.

· Support ad-hoc data analytics and periodic reporting requests.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· BS in Business Analytics, Statistics, Economics, Actuarial Science or equivalent disciplines that focuses on extensive use of data for analysis.

· At least 5 years of experience in managing and delivering multiple requirements for business intelligence and analytics as an individual contributor.

· Proficient in traditional and modern data programming language (e.g. Phyton, SQL, Hive, and PySpark) and data visualization tools (e.g. Tableau).

· Practical knowledge of big data ETL framework and experience dealing with complex data structure.

· Strong business acumen and communication skill; able to bridge the communication between technical and business domains.

· A problem-solver, initiative-taker who can work independently and responsibly with minimal supervision.

· Ability to manage and prioritize requests and tasks while being goal-oriented

· Experience in performing/interpretating advanced analytics (e.g. Statistical or ML-based) is a plus.

· Experience in insurance or financial services industry is a plus.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Qualifications-

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
• Experience with cloud-based data platforms (e.g., AWS, SnowFlake).
• Proficiency in SQL and experience with NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance principles and data privacy regulations.

Job-Specific Technical Skills:

• Proficiency in Python or Scala for data processing and automation.
• Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, PowerBI) to support data quality checks and pipeline monitoring.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data security best practices and implementation.

Qualifications

Required Experience and Knowledge

• 2-3 years of experience in data science, machine learning, or a related field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
• Understanding of customer lifecycle management concepts and metrics.

Job-Specific Technical Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data extraction and manipulation.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with version control systems (e.g., Git).
• Understanding of data visualization principles and tools.

Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

Responsibilities:

• Understand the questionnair flow to come up with a suitable user interface and validation criteria.
• Create surveys in system by building questions, branching and error prompts.
• Create visually appealing and user-friendly solutions to improve engagement and satisfaction.
• Perform user acceptance testing, debugging of system issues and follow up with users on deployment/system issues.
• Collaborate with stakeholders to identify opportunities for process improvements and recommend system modifications.
• Communicate with stakeholders to ensure a smooth workflow throughout the survey.
• Document information from surveys creation to allow others to replicate the steps.
• Independent in handling surveys end-to-end; including dealing with issues arising from survey system.
• Design and implement experiments to test hypotheses and validate model performance
• Collaborate with internal and external stakeholders to create data solutions to suit their business needs

Requirements:

• Proficient in Python or R programming language
• Sound knowledge in Statistics and Machine Learning
• Experience in IT or database administration a plus
• Experience in UI/UX will be advantageous
• Analytical and logical thinking
• Good communicator and team player
• 5 days work week
• 6 months contract with possiblity of extension
• Location Central
• Salary up to $4,200 depending on experience

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1982883 (Koh Wei Ling, Gao Weiling)

GOREF:9039

Senior Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory, Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud, or Informatica Intelligent Cloud Services (IICS)
• Build and manage ETL and ETL data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

This role is responsible for the design, development, testing, implementation and maintenance of data integration and data management solutions

Duties & Responsibilities Project & Support Tech Lead role

• Drive requirements gathering workshops to study as-is systems and processes and identify gaps between proposed design and gathered requirements
• Responsible for the high-level and detailed technical solution and design in adherence to data management and organization’s IT policies
• Responsible for the design, development, testing and implementation of data integration and data management solutions
• Responsible for data profiling and data quality improvement recommendation
• Lead technical members from different teams to deliver the end-to-end solution that meets time, scope and quality requirements
• Work with data engineers, data analysts and data scientists in the implementation of analytics solutions
• Work with OLTP systems and Enterprise Integration teams in the implementation of end-to-end data integration solutions

Tech research / evaluator role

• Responsible for greenfield data management technology exploration, innovation, evaluation and implementation
• Produce training materials and provide cross-skill / up-skill training or coaching to technical members

Requirements(Please state Qualification, Years of Experience, Knowledge & Skills required.) Work Experience

• At least 10 years of IT working experience, with 6 years strong experience in Informatica as ETL Architect/Lead and 2 years leading remote team.

IT Technical skills & knowledge

• Solid SQL skills, including experience querying and tuning large, complex data sets and performance analysis
• Knowledge in Python
• Must have Azure Data Factory, or Azure synapse analytics or Fabric Data Pipelines
• knowledge in MQuery or Dataflow Gen2
• Strong knowledge in ETL implementation from source APIs to target data stores like Azure, Amazon S3 and on-premises storage
• Good knowledge in network and/or operating systems
• Possess working experience in using globally recognized frameworks such as DAMA, ITIL, TOGAF, ISO/IEC27001 or CoBIT
• Certification in Microsoft Certified Fabric Analytics Engineer Associate preferred
• Data security, protection or privacy related certification is bonus

Non-IT skills

• Solid skills in cost-benefit analysis, selection, and implementation of data management technology to an organisation
• Experience in writing RFP specification is preferred

Education

• Degree or diploma in Data Engineering, Business Analytics, Information Technology, Computer Science or equivalent.
• Candidates with qualifications covering Business & IT domains are preferred

Other behavioural attributes

• Evidence of self-learning attitude to continuously improve knowledge and skills
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors
• Empathic personality with ability to communicate with all levels of management, users, and vendors. Has history of establishing win-win negotiation outcomes.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Internal ref: 9235

Regards,

Lini

Recruitment Consultant

R22108463

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

“ Without continual growth and progress, such words as improvement, achievement, and success have no meaning”

- Benjamin Franklin

The learning process is instrumental in shaping one's personality and the way they deal with life’s situations. That is why proper guidance is necessary for the success of every individual.

We pride ourself in nurturing our people; the knowledge and skills they acquired today will drive productivity and value in the long run.

What you will do:

· Represent clients’ products and provide the most suitable package to customers based on their needs

· Monitor brand evolution and competitors’ pricing

· Build customer relationships and organize daily work schedule to call on existing or potential sales outlets

· Attend product trainings and upskilling topics

· Provide solutions and ideas to assist company’s growth and expansion

Requirements:

· Strong interpersonal and communication abilities

· Motivated and self-discipline

· Adaptable in a fast-paced, dynamic environment

· Able to work well with detailed information

· Willingness to learn all aspects of business operations work

Time waits for no one. If not now, when?

We're a dynamic global sales and marketing powerhouse, partnering with top-tier clients to revolutionise their sales strategies and market dominance through exciting, face-to-face marketing initiatives.

We're on the hunt for fresh talent to nurture into future leaders within our industry. If you're hungry for success, our proven systems are tailor-made to propel ambitious go-getters like you!

Role

• Be the face of our clients, assisting with presentations and onboarding processes.

• Champion customer acquisition through engaging face-to-face interactions

• Take the lead on exciting marketing campaigns and projects

• Management roles with incentives! to lead a team and explore more potential campaigns

Benefits

• Gain invaluable exposure and skills that will level up your game

• Thrive in a positive, supportive team environment

• Step out of your comfort zone and into your potential

Data Entry Administrator

1) Creation and maintenance of Parts, Supplier Details and all other relevant information for the Department

2) Maintaining records of invoices and payment details in the System

3) Assist in generating reports and extracting data as needed for different business needs

4) Assist in creating Purchase Orders and/or Purchase requests and maintaining a proper document control register for the Department

5) Maintain confidentiality and adhere to data protection policies while handling sensitive information

6) Collaborate with team members to ensure timely and accurate completion of data entry tasks

7) Maintain confidentiality and adhere to data protection policies while handling sensitive information

8) Providing administrative and clerical support which includes but not limited to scanning, filling, photocopying, faxing, answering phone calls

9) Ensure compliance to policies and procedures when performing day to day activities.

10) Undertake Ad-hoc tasks & duties assigned by the Office Manager

Requirements

- Diploma or equivalent

- Must be Proficient with MS Office

- Strong organizational and time management skills to prioritize tasks

- Strong attention to detail and ability to identify errors

- Proactive, takes initiative and well organised

- Quickbooks (QBO) and/or SAP knowledge is an advantage

- Able to work independently with the ability to multi task

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction