About Us!

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better housing policies service, improving service delivery and optimising operations.

What Will You Do?

As a data engineer, you will play a key part in helping HDB begin its journey to be data-driven to the core. In this role, you will assume the following responsibilities:
• Create and maintain data architectures that meets the needs of HDB.
• Build and maintain data platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.
• Improve discoverability and distribution of analytical data to data analysts and data scientists.
• Implement best practices in data security throughout the lifecycle of analytical data.

You will be a Great Fit if you:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.
• 3 years relevant experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines is preferred.
• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).
• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow
• Knowledge of the latest developments in data engineering and best practices in data management.
• Knowledge of analytical tools is an advantage e.g., SAS Viya, Tableau, PowerBI, Amazon SageMaker, ArcGIS Pro
• Knowledge in cloud computing, design and development is an advantage e.g., AWS, Azure, GCP
• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse.
• Strong project management and organization skills.
• Possess an eagerness to learn and impart new skills.
• Be a good team player.

Good to Have:

- Great Attitude to bring the best out our team
- Team Player; we work together as a team
- Possess an eagerness to learn and impart new skills
- Autonomous & Take ownership

Fresh graduates are welcomed.

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15488252/f7e66340-f414-1edf-b4b0-355f29ab3387

Job Description:

• Cold Chain Company
• Salary up to $2000 + transport allowance
• Benefits: AWS + 3 mths VB + Medical benefits
• Working Days: 5.5 days alt Saturday
• Working Hours: (Mon-Fri) 8.15am – 5.15pm / (Alt Sat) 8.15am – 12.45pm
• Working Location: West

Job Responsibilities:

• Prepare and issue gate passes for incoming and outgoing cargo/containers.
• Perform general clerical tasks, including filing, photocopying, scanning, and organizing documents.
• Handle customer orders promptly via email and phone.
• Update and print Receipt Notes and Delivery Notes in system daily.
• Collaborate with operations staff to coordinate and fulfil customer orders effectively.

Requirement:

• Min 1-year relevant experience in logistic coordinator
• Good communication skills with internal staff
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY NOW”

*Or email your resume to [email protected] *

*Only shortlisted candidates would be notified**

MTC Consulting Pte Ltd | 15C7752

EA. Registration No.: R22106554 | Lavonne Lai Nai Xiang

Location: Warehouse (Geylang Bahru)
Working Days: Mon - Fri, 5 days (ALT SAT)
Working Hours: 8.30am – 6.00pm
Salary: $1,800 - $2,200 (Depends on Experience)

Admin

• Prepare customer quotations
• Fulfilling orders
• Processing orders to shipment and delivery of orders to customers.
• Responsible to manage customers’ orders and coordinating with colleagues during the entire process.
• Data entry
• Manage sales hotline and follow up on all customer and other sales enquiries
• And other admin matters as assigned by Supervisor

Prerequisites

• On job training provided.
• Minimum of 1-year related experience in related Food wholesale trade will be advantageous
• Proficient in MS office applications

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is a established company dealing with Water Filtration Systems for commerical (F&B, Hotels) and residential sectors.

We would like to look for a detail-oriented and organized individual to join our team as a Data Entry and sales administrative assistant.

Job Responsibilities

• Perform accurate and efficient data entry tasks, including inventory, sales records, payment, and shipment details.
• Maintain and organize records of shipments, costs, and delivery schedules.
• Generate periodic reports for management.

Requirement:

- Minimum 1 year experience in Data Entry and/ Or sales admin work

- Meticulous, good in Excel

Working Location: Near Cityhall MRT

Working hours: 8.30am to 5.30pm / Mondays to Fridays

Interested applicants pls email resume to [email protected]

Jessie Hoe Huey Miin

CEI Reg No. R1103861

EA Licence: 99C4599

Job Title: Data Entry Clerk (ID5087)

Location: Jurong East

Working Hours: Mon to Fri 8.30am – 5.30pm , Sat 8.30am – 12.30pm

Salary: up to $2100

Job Description:

• Order processing - to do GR and GI in SAP and WMS

• Liaising and co-ordinating with customer

• Performing daily/monthly/quarterly cycle count

• Any other ad-hoc duties

Requirement:

• At least 1–2 years of relevant experience

• Computer Literate & Proficient in MS Office

Job Scope:

· Data entry, filing, recording and maintaining accurate records as per the company’s SOP

· Administrative support

· Any other ad hoc duties as assigned

Requirements:

· Well versed in MS Excel or similar data entry tools

· Good communication skills and eye for details

· Accurate and diligent

Additional Information:

· Commencement Date: Immediate for 6-month contract

· Working days and hours: Mon – Fri, 9am to 6pm

· Location: Mapletree Business City, Labrador Park MRT

Location: Warehouse (Geylang Bahru)
Working Days: Mon - Fri, 5 days (ALT SAT)
Working Hours: 8.30am – 6.00pm
Salary: $1,800 - $2,200 (Depends on Experience)

Admin

• Prepare customer quotations
• Fulfilling orders
• Processing orders to shipment and delivery of orders to customers.
• Responsible to manage customers’ orders and coordinating with colleagues during the entire process.
• Data entry
• Manage sales hotline and follow up on all customer and other sales enquiries
• And other admin matters as assigned by Supervisor

Prerequisites

• On job training provided.
• Minimum of 1-year related experience in related Food wholesale trade will be advantageous
• Proficient in MS office applications

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Responsibilities

• Accurately input, update, and maintain data in the CRM system.
• Ensure all data is entered correctly and correct format.
• Correct any errors or inaccuracies in the data and re-enter the correct information
• Handle other ad-hoc administrative matters assigned

Requirements

• No experience needed
• Proficient in MS Office

Interested applicants please email your resume to [email protected]

Megan Ng Su Ting

CEI Registration No.: R23115059

Recruit Express Pte Ltd

EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Location: Shenton Way

Working hours: Mon-Fri, 8.30am to 5.30pm

Duration: 6 Months Contract

Salary Range: $3,500 to $3,800 + 0.5 months completion bonus

Responsibilities

• Support performance management and activities and administrations proactively
• Provide strong support in implementing Global HR Projects including through working with stakeholders across regions
• Collaborate closely with the system support team/vendors to address employees' requests for performance management system solutions and enhancements
• Act as focal point to attend to employees' daily communication and resolving their queries
• Participate in any ad-hoc projects and provide support as required

Requirements

• Minimum Bachelor's degree in business, analytics or relevant discipline
• No experience needed as training will be provided!

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/g-3Exh5v

• Strong support from business to invest in data
• Opportunity to lead digital transformation through data

About the company

Our Client is one of the most established companies within their industry. They have a well-established presence of more than 50 years with a global footprint of more than 10 countries. With aggressive plan in investing in IT, they are now looking hire their Data Engineer / Associate Data Scientist to be based here in Singapore.

About the job

Your role involves:

• Design, develop and program methods, processes, and systems to consolidated and analyse unstructured, diverse data sources to generate actionable insights and solutions for Management
• Develop and code software program, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with business experts to enrich the data and find meaningful insights that can be applied to build actionable solutions.
• Automate repetitive data tasks, to streamline the process, and minimize manual intervention.
• Create data visualization to effectively communicate findings and recommendations to stakeholders.
• Stay update on industry trends and best practices in data science, machine learning, and artificial intelligence.

Skills and experience required

As a successful applicant, you will have at least 2 years of experience in Data Science. Proven working experience in python is required for this role.

Candidates with exposure to senior business stakeholder management is required for this role.

Whats on offer

This is an excellent opportunity to led data transformation with a leading corporation. You will get the opportunity to be exposed to multiple advanced data analytics tools.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/g-3Exh5v(EA: 94C3609/ R1219669)

• Basic Salary - $1800 to $2100
• Working Days - Mon to Fri + alt sat (8.30am to 5.30pm / 8.30am to 12.30pm)
  Working Location - Penjuru rd (moving to Senoko in 2025)
  transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing
  -to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Require to go warehouse for picking, packing & labeling goods
• Any other ad-hoc duties

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency, and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly, and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from projects and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for project data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times, and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills: Proficient in data analysis tools such as Excel, SQL, and Python. Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.

Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.

Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.

Self-Motivation: Proactive and able to work independently with minimal supervision.

Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.

Quality Focus: High attention to detail, ensuring data accuracy and integrity.

Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

We are looking for a highly skilled Data Engineer to join our team and help build scalable data pipelines and systems. The ideal candidate will have experience in designing, implementing, and optimizing data architectures to enable effective data-driven decision-making. This role involves working with large datasets, building ETL pipelines, integrating data from various sources, and collaborating with cross-functional teams to ensure seamless data operations.

Key Responsibilities:

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient ETL/ELT pipelines to extract, transform, and load data from diverse data sources into data warehouses or data lakes.
   Ensure data pipelines are robust, reliable, and optimized for performance.
   
2. Data Integration & StorageIntegrate structured and unstructured data from various internal and external sources.
   Develop and maintain data storage solutions, including data lakes, data warehouses, and databases.
   Work with both relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
   
3. Data Modeling & ArchitectureDesign and implement data models to support analytical and reporting needs.
   Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into scalable solutions.
   Implement best practices in data governance, data quality, and metadata management.
   
4. Data Pipeline Monitoring & OptimizationMonitor and troubleshoot data pipelines to ensure data availability, accuracy, and integrity.
   Optimize existing data systems for performance, scalability, and cost-efficiency.
   Implement error-handling mechanisms and recovery strategies for critical pipelines.
   
5. Collaboration & DocumentationCollaborate with software engineers, DevOps teams, and business stakeholders to support data-related technical issues and infrastructure requirements.
   Document data processes, pipeline configurations, and system designs to maintain a clear understanding of the data ecosystem.
   

Required Skills:

• Programming: Proficiency in Python, Java, or Scala for data pipeline development.
• Data Technologies: Experience with Apache Spark, Hadoop, Kafka, and Flink.
• ETL Tools: Experience with ETL tools like Apache Airflow, Informatica, or Talend.
• Databases: Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
• Cloud Platforms: Hands-on experience with cloud platforms like AWS (Redshift, S3, Glue), Azure (Data Lake, Synapse), or Google Cloud (BigQuery, Dataflow).
• Data Warehousing: Strong understanding of data warehousing concepts, including dimensional modeling, star/snowflake schema, and data marts.
• Version Control: Proficiency in using Git for source control and versioning.
• Big Data: Experience in working with large datasets and distributed computing frameworks.

Preferred Qualifications:

• Certification in AWS, Azure, or Google Cloud related to data engineering.
• Experience in data streaming technologies like Apache Kafka, AWS Kinesis, or Azure Event Hub.
• Familiarity with DevOps practices and CI/CD pipelines for data infrastructure.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Educational Qualification:

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

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirement:

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Key Responsibilities:

1. Data Pipeline Development:Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from diverse sources.
   Automate data ingestion and processing workflows.
   
2. Data Architecture and Storage:Develop and optimize data models and databases (e.g., relational, NoSQL, or data lakes).
   Implement and manage cloud-based data storage solutions (e.g., AWS, Azure, Google Cloud).
   
3. Data Integration and Transformation:Integrate data from various structured and unstructured sources, including APIs and third-party systems.
   Ensure data quality, consistency, and accuracy through validation processes.
   
4. Performance and Scalability:Monitor, troubleshoot, and improve the performance of data systems and pipelines.
   Optimize storage and processing costs for large-scale datasets.
   
5. Collaboration and Support:Work closely with data scientists, analysts, and other stakeholders to understand their data needs.
   Provide technical guidance on best practices for data infrastructure.
   
6. Security and Compliance:Implement data governance, security protocols, and access controls.
   Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA).
   

Qualifications:

1. Education and Experience:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
   Proven experience in a data engineering role (2–5 years preferred).
   
2. Technical Skills:Proficiency in programming languages like Python, Scala, or Java.
   Experience with SQL and database management systems (e.g., MySQL, PostgreSQL).
   Hands-on experience with big data frameworks (e.g., Apache Spark, Hadoop).
   Familiarity with cloud platforms (AWS, Azure, GCP) and services like S3, Redshift, BigQuery, or Databricks.
   Knowledge of data integration tools (e.g., Apache Airflow, Kafka, or Glue).
   
3. Other Skills:Strong problem-solving and debugging abilities.
   Excellent communication and teamwork skills.
   Ability to manage multiple projects and deadlines.
   

Preferred Qualifications:

• Experience with machine learning pipelines and MLOps.
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
• Familiarity with CI/CD processes for data workflows.