Key Responsibilities:

1. Insert customer data by inputting text based and numerical

information from sources within time limits

2. Keep information confidential

3. Comply with data integrity and security policies

Required Qualifications and Skills:

1. Minimum GCE O-levels or possess a NITEC or Higher NITEC in any

discipline

2. Experience with word processing tools and spreadsheets

3. Accuracy, attention to detail and confidentiality

4. Organization skills, with an ability to stay focused on assigned tasks

Data Entry Clerk

• 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

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Assist in collecting, cleaning, and preparing data from internal and external sources for analysis
• Create reports and dashboards to help teams track performance and make informed decisions
• Monitor data accuracy and troubleshoot discrepancies to ensure data quality
• Support the automation of routine reporting processes for increased efficiency
• Analyze financial data trends and provide actionable insights to support business goals
• Collaborate with IT and operations teams to maintain data management systems
• Stay informed on financial market trends and adapt datasets for relevance
• Ensure compliance with financial regulations and data protection policies
• Provide ad-hoc data support to teams working on projects or campaigns
• Participate in training sessions to build skills in financial analytics tools and technologies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

• 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

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without 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.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

• Position : Admin Assistant [Simple Duties/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.

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

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.

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:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $10,000 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

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $12,000 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

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.

Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code build, etc.

• Design and build production ETL data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync & Glue.

• Understand the existing applications(including on-premise Cloudera Datalake) and infrastructure architecture.

• Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.

• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

• Collaborate with development, infrastructure and data center teams to define Continuous Integration and Continuous Delivery processes in accordance with industry standards.

• Work on hybrid Datalake.

• Work closely with multiple stakeholders to ensure high standards are maintained.

Mandatory Skill-set

• Bachelors Degree in Computer Science, Information Technology or other relevant fields

• 3-5 years of work experience with ETL, Data Modelling, Data Architecture to build Datalake. Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark.

•1-2 yrs of extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, Redshift, RDS-PostgreSQL, S3 & Airflow(for orchestration).

Registration No. / Unique Entity Number: 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

This will be a 1-year renewable contract based in One North.

Responsibilities

• Development and enhancement of dashboarding capabilities for audit, compliance, and service management reporting
• Promote enhancement of IT controls, processes, and security measures
• Implement initiatives and tools to analyse trends and provide oversight on compliance matters
• Improve effectiveness of update, tracking and reporting of compliance status
• Develop IT compliance guides
• Conduct briefing/awareness campaigns on IT compliance requirements, policies, and best practices.
• Coordinate internal and external audits and policy/ compliance-related assessments
• Monitor and report on status and issues
• Perform internal checks to evaluate effectiveness of IT controls
• Provide support to ad-hoc administrative, comms or operational work that may arise

Qualifications/ Qualities:

• Minimum Diploma in information technology, Computer Science, Engineering or a related field
• Minimum 2 years of working experience in Analytic tools (e.g. MS Power BI, Power Automate etc.) for dashboarding, reporting, and compliance monitoring.
• Experience in coordinating workstreams and tasks undertaken by functional teams within IT division and beyond, collating returns and performing reasonable analysis.
• Knowledge in IT audit or IT compliance or IT policy or IT risk management
• Knowledge of Information Security, cybersecurity principles and best practices
• Strong communication skills
• Analytical mindset
• Attention to detail
• Problem-solving abilities
• Team player, working collaboratively with cross-functional teams, auditors, management, and external stakeholders.
• Adaptable and able to work independently

Ethos Search Associates Pte. Ltd.

EA Licence No: 13C6655

EA Reg No: R1988580 Jacky Chong

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Responsibilities:

• Responsible for design and optimizing of complex SQL queries to generate reports from the data platform.
• Ensure the accuracy, security and reliability of data used in generated reports. Making sure that the data follows local regulations and company policies.
• Support the creation of data visualization tools and dashboards, ensuring they are built on robust and reliable structures within the company's data platform.
• Collaborate with Data Engineers, Data Scientists, and Data Management teams.
• Liaise with business departments to understand their reporting requirements.
• Conduct in-depth analyses to identify trends, patterns and actionable insights.
• Identify automation opportunities and manage departmental automation processes.
• Improve data collection models and ensure the performance of datasets.
• Develop and maintain documentation including data dictionaries and report definitions.
• Carry out any additional tasks assigned by the Supervisor.

Requirements:

• Degree in Statistics, Engineering, Computer Science or equivalent.
• At least 2 years of relevant work experience.
• Knowledge of SQL and programming.
• Experience using Python and PowerApps is an added advantage.

Interested applicants are welcome to submit your resume to [email protected]

EA. R1107675

Agency no. 07C3676

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.

Must have skillset :

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

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Job Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 3+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Data scientist roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the preprocessing of structured and unstructured data
• Enhancing Data Collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Skills:

• Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Proven Experience as or Data Scientist