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data modeler

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

<div>
 
 
 Job Position Title- Data Modeler
 
 
 
 
 
 
 
 Company:
 
 RiDiK Pte Ltd
 
 
 
 
 
 
 Location
 
 :
 
 Jeddah
 
 
 
 
 
 
 
 Position - Data Modeler
 
 
 
 
 Work location &ndash; Jeddah
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ol>
 <li>
 Design and maintain
 
 conceptual, logical, and physical data models
 
 for enterprise and analytical data platforms.
 </li>
 <li>
 Analyze existing data sources and schemas to
 
 identify relationships, redundancies, and optimization opportunities
 
 .
 </li>
 <li>
 Ensure data model alignment across
 
 Bronze, Silver, and Gold layers
 
 in the Data Lakehouse environment.
 </li>
 <li>
 Work with
 
 ETL/ELT developers
 
 (Informatica, Datastage, or equivalent) to validate data flow and model integration.
 </li>
 <li>
 Collaborate with
 
 data governance and architecture teams
 
 to maintain data lineage, metadata, and standards.
 </li>
 <li>
 Support performance tuning, normalization/denormalization, and indexing strategies.
 </li>
 <li>
 Document data definitions, business keys, and transformation rules clearly and accurately.
 </li>
 <li>
 Participate in
 
 model reviews and sign-off sessions
 
 with stakeholders and architects.
 </li>
 </ol>
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ol>
 <li>
 5&ndash;10 years of experience in
 
 data modeling and database design
 
 .
 </li>
 <li>
 Proficiency with
 
 data modeling tools
 
 (ERwin, PowerDesigner, or equivalent).
 </li>
 <li>
 Strong SQL skills and understanding of
 
 data warehouse / data lake / data lakehouse
 
 concepts.
 </li>
 <li>
 Understanding of
 
 Teradata FSLDM &amp; FSAS
 
 models.
 </li>
 <li>
 Hands-on experience with
 
 Teradata, Cloudera, Informatica, or Denodo
 
 (Good to have)
 </li>
 <li>
 Solid understanding of
 
 ETL/ELT processes, data governance, and metadata management
 
 .
 </li>
 <li>
 Excellent communication and analytical skills; ability to work across business and technical teams.
 </li>
 </ol>
 
 
 
 
 
 
 
 About CLPS RiDiK
 
 
 
 RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries
 
</div>

Data Modeler

Avensys Consulting

<div>
 
 Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
 
 
 
 
 
 
 
 We are seeking for
 
 Data Modeler
 
 Position
 
 
 Position Details:
 
 
 Job Type:1 year renewable contract with client (payroll Avensys)
 
 
 Location: Jeddah, Saudi Arabia
 
 
 Timings : Regular working hours (Saudi Arabia Time Zone)
 
 
 Yrs of Exp: Min 5+ years of relevant experience
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Design and maintain conceptual, logical, and physical data models for enterprise and analytical data platforms.
 
 
 &bull; Analyze existing data sources and schemas to identify relationships, redundancies, and optimization opportunities.
 
 
 &bull; Ensure data model alignment across Bronze, Silver, and Gold layers in the Data Lakehouse environment.
 
 
 &bull; Work with ETL/ELT developers (Informatica, Datastage, or equivalent) to validate data flow and model integration.
 
 
 &bull; Collaborate with data governance and architecture teams to maintain data lineage, metadata, and standards.
 
 
 &bull; Support performance tuning, normalization/denormalization, and indexing strategies.
 
 
 &bull; Document data definitions, business keys, and transformation rules clearly and accurately.
 
 
 &bull; Participate in model reviews and sign-off sessions with stakeholders and architects.
 
 
 ________________________________________
 
 
 
 Required Skills and Qualifications
 
 
 
 &bull; 5&ndash;10 years of experience in data modeling and database design.
 
 
 &bull; Proficiency with data modeling tools (ERwin, PowerDesigner, or equivalent).
 
 
 &bull; Strong SQL skills and understanding of data warehouse / data lake / data lakehouse concepts.
 
 
 &bull; Understanding of Teradata FSLDM &amp; FSAS models.
 
 
 &bull; Hands-on experience with Teradata, Cloudera, Informatica, or Denodo preferred.
 
 
 &bull; Solid understanding of ETL/ELT processes, data governance, and metadata management.
 
 
 &bull; Excellent communication and analytical skills; ability to work across business and technical teams.
 
 
 
 
 
 
 
 
 WHAT&rsquo;S ON OFFER:
 
 
 You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.
 
 
 
 
 To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to
 
 uma@aven-sys.com
 
 . Your interest will be treated with strict confidentiality.
 
 
 
 
 
 
 
 
 
 
 CONSULTANT DETAILS:
 
 
 Consultant Name : Uma
 
 
 AvensysConsultingPteLtd
 
 
 
 
 Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.
 
 
 
</div>

<div>
 
 We&rsquo;re looking for a
 
 Java Microservices Developer
 
 to support our team in
 
 Malaysia.
 
 This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you&rsquo;re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we&rsquo;d love to hear from you.
 
 
 
 
 
 
 Job Description
 
 
 <ol>
 <li>
 7&ndash;10 years of experience in
 
 data modelling and database design
 
 .
 </li>
 <li>
 Proficiency with
 
 data modelling tools
 
 (Erwin, Power Designer, or equivalent).
 </li>
 <li>
 Strong SQL skills and understanding of
 
 data warehouse / data lake / data Lakehouse
 
 concepts.
 </li>
 <li>
 Understanding of
 
 Teradata FSLDM &amp; FSAS
 
 models.
 </li>
 <li>
 Hands-on experience with
 
 Teradata, Cloudera, Informatica, or Denodo
 
 (Good to have)
 </li>
 <li>
 Solid understanding of
 
 ETL/ELT processes, data governance, and metadata management
 
 .
 </li>
 <li>
 Excellent communication and analytical skills; ability to work across business and technical teams.
 </li>
 <li>
 Minimum
 
 5years of Banking
 
 experience is Must
 </li>
 </ol>
 
 
 
 
 
 
 
 
 About CLPS RiDiK :
 
 
 
 RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.
 
</div>

Match | ماتش

<div>
 
 
 Key Accountabilities:
 
 
 
 
 
 
 
 Core:
 
 
 <ul>
 <li>
 Accurately input data into various systems, databases, and spreadsheets based on source documents or instructions.
 </li>
 <li>
 Review and verify data for accuracy and completeness, making corrections as necessary.
 </li>
 <li>
 Organize and maintain digital and physical records, ensuring data is readily accessible and up-to-date.
 </li>
 <li>
 Perform regular data audits to identify and resolve discrepancies.
 </li>
 <li>
 Maintain confidentiality of sensitive information and ensure data privacy protocols are followed.
 </li>
 <li>
 Assist in generating reports, summaries, and other data-related tasks as needed.
 </li>
 <li>
 Communicate with team members or supervisors to clarify data or resolve issues.
 </li>
 <li>
 Perform basic administrative tasks such as filing, scanning, and organizing documents.
 </li>
 <li>
 Ensure timely completion of data entry tasks in accordance with deadlines.
 </li>
 <li>
 Use software tools (Microsoft Excel, Google Sheets, database management systems) to manage and organize data effectively.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 High school diploma or equivalent; additional training in data entry, administration, or a related field is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 1-2 years of experience in data entry or administrative support, with a focus on accuracy and efficiency.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Excel, Word) or other data management software.
 </li>
 <li>
 Strong attention to detail and organizational skills.
 </li>
 <li>
 Ability to work independently and manage time effectively to meet deadlines.
 </li>
 <li>
 Ability to handle repetitive tasks with a high level of consistency and quality.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Good communication skills, both written and verbal.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Language:
 
 
 <ul>
 <li>
 Strong verbal and written communication in both Arabic and English.
 </li>
 </ul>
</div>

Factory Data Entry Coordinator

SALLA

<div>We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.
Key Responsibilities<ul><li>Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.</li><li>Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.</li><li>Develop and maintain solutions for streaming and serverless data processing.</li><li>Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.</li><li>Ensure data quality, reliability, and performance across the platform.</li><li>Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.</li><li>Mentor junior engineers and contribute to the continuous improvement of engineering practices.</li><li>Strong problem-solving skills and the ability to thrive in a fast-paced environment.
</li><li>Excellent communication and teamwork skills.
</li></ul>Requirements<ul><li>
5+ years of experience in Data Engineering or related fields.
</li></ul><ul><li>Strong expertise in ClickHouse (schema design, ingestion optimization, query performance tuning, and cluster management).
</li><li>Proven experience with real-time data processing using Apache Kafka, Flink, or Spark Streaming.
</li><li>Deep understanding of distributed systems architecture with emphasis on scalability, reliability, and fault tolerance.
</li><li>Proficiency in one or more programming languages:
</li></ul>Python: Building data pipelines, automation scripts, and integrations.
Go: Developing high-performance data services or tools.
TypeScript: Contributing to data-related front-end or service-side applications.
Bash/Shell scripting: Writing automation scripts for data operations.
Rust (Good to have): Interest or experience in building memory-safe, high-performance systems.
<ul><li>Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
</li><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes).</li></ul></div>

Senior Data Engineer

<div>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.<h3 class="jobSectionHeader"> 
Responsibilities</h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li>Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Senior Data Scientist

Nvizion Solution

Role OverviewWe are seeking a Denodo Architect to design and implement the data virtualization and semantic access layer as part of our on-premise Data Lakehouse (DLH) program. The architect will play a critical role in integrating Denodo with Cloudera (HDFS, Spark, Kafka), Teradata, Informatica, and multiple source banking systems, enabling unified access, performance optimization, and governance across the medallion architecture (Bronze, Silver, Gold layers).Key ResponsibilitiesArchitecture &amp; DesignDefine Denodo architecture for data virtualization, caching, security, and query optimization across heterogeneous sources.Enable semantic layer &amp; data abstraction to support Medallion (Bronze/Silver/Gold) architecture.Design high-performance data federation strategies with Cloudera (HDFS, Hive, Impala), Teradata, and real-time Kafka streams.Integration &amp; MigrationWork with Informatica teams to expose curated Silver-layer datasets via Denodo for downstream consumption.Ensure smooth coexistence between legacy systems and new lakehouse through virtualization during migration.Design APIs &amp; services for consuming Gold-layer data products through Denodo.Performance &amp; SecurityImplement caching, query acceleration, and workload management strategies.Define row-level and column-level security, masking, and role-based access controls aligned with bank ISM requirements.Monitor and tune Denodo queries for low latency and high concurrency workloads.Collaboration &amp; GovernancePartner with Cloudera, Teradata, and Informatica architects to align virtualization strategy.Work with Data Governance team to enforce data lineage, metadata, and catalog integration.Provide guidance to ETL, BI, and reporting teams (Power BI, downstream analytics) on Denodo consumption best practices.Required Skills &amp; Experience:10+ years of data architecture experience, with 5+ years in Denodo (v8.x or above preferred).Strong expertise in data virtualization, federation, caching, and query optimization.Hands-on experience integrating Denodo with:<ul><li>Cloudera (Hive, Impala, HDFS, Kafka, Spark)</li><li>Teradata</li><li>Informatica (ETL pipelines, curated data sets)</li><li>Oracle GoldenGate / CDC streams</li><li>Knowledge of banking source systems and data domains (LOS, CLOS, Payments, Trade, Murex, Swift, etc.) is a plus.</li><li>Familiarity with data governance, security (LDAP/AD, Kerberos, SSL, OAuth, masking), and compliance.</li><li>Experience in API design, REST/SOAP services, and BI integration (Power BI, Tableau, MicroStrategy).</li></ul>Nice to Have:<ul><li>Experience with Medallion architecture implementations in hybrid/on-prem ecosystems.</li><li>Exposure to data lakehouse migration programs with co-existence strategies.</li></ul>Job Types: Full-time, Contract Contract length: 6 monthsPay: &#65020;63.00 - &#65020;100.00 per hourExpected hours: 40 per week

Denodo Developer

Explore 141+ Data modeler in Jeddah Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

141 data modeler jobs IN Jeddah Saudi Arabia

Data Modeler

Data Modeler

Data Modeler

Factory Data Entry Coordinator

Senior Data Engineer

Senior Data Scientist

Denodo Developer