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data modeler / big data engineer

data modeler big data engineer

TAWANTECH

<div>We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank&rsquo;s enterprise data platform, analytics, and digital transformation initiatives.
Key Responsibilities<ul><li>
Design and maintain enterprise data models for banking data domains.</li><li>
Develop and manage Data Lake and Big Data environments.</li><li>
Build scalable data solutions using Cloudera and Hadoop ecosystems.</li><li>
Implement and manage Apache Iceberg tables and data architectures.</li><li>
Support data governance, metadata management, and data quality initiatives.</li><li>
Collaborate with data engineering, analytics, and business teams.</li><li>
Optimize data performance and scalability.</li></ul> 

Requirements 
<ul><li>
5+ years of experience in data modeling and big data engineering.</li><li>
Strong knowledge of Cloudera Data Platform (CDP).</li><li>
Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala).</li><li>
Hands-on experience with Data Lakes and Apache Iceberg.</li><li>
Strong SQL and data modeling skills.</li><li>
Experience with enterprise data architecture and governance frameworks.</li></ul>
Preferred Qualifications<ul><li>
Banking or Financial Services experience.</li><li>
Experience supporting enterprise data warehouse modernization initiatives.</li><li>
Knowledge of cloud-based data platforms and modern lakehouse architectures.</li></ul></div>

Data Modeler / Big Data Engineer

<div>
 We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank's enterprise data platform, analytics, and digital transformation initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain enterprise data models for banking data domains
 </li>
 <li>
 Develop and manage Data Lake and Big Data environments
 </li>
 <li>
 Build scalable data solutions using Cloudera and Hadoop ecosystems
 </li>
 <li>
 Implement and manage Apache Iceberg tables and data architectures
 </li>
 <li>
 Support data governance, metadata management, and data quality initiatives
 </li>
 <li>
 Collaborate with data engineering, analytics, and business teams
 </li>
 <li>
 Optimize data performance and scalability
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in data modeling and big data engineering
 </li>
 <li>
 Strong knowledge of Cloudera Data Platform (CDP)
 </li>
 <li>
 Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala)
 </li>
 <li>
 Hands-on experience with Data Lakes and Apache Iceberg
 </li>
 <li>
 Strong SQL and data modeling skills
 </li>
 <li>
 Experience with enterprise data architecture and governance frameworks
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Banking or Financial Services experience
 </li>
 <li>
 Experience supporting enterprise data warehouse modernization initiatives
 </li>
 <li>
 Knowledge of cloud-based data platforms and modern lakehouse architectures
 </li>
 </ul>
</div>

<div>Responsibilities:<ul><li>Develop and maintain conceptual, logical, and physical data models using data modeling tools.</li><li>Collaborate with stakeholders, business analysts, and Data Engineer teams to gather business requirements and define data modeling standards.</li><li>Design and implement data models that support business intelligence, data warehousing, and analytics initiatives.</li><li>Ensure data models adhere to data governance policies, data quality standards, and industry best practices.</li><li>Develop and maintain data model documentation, including data dictionaries, entity-relationship diagrams, and data flow diagrams.</li><li>Participate in data architecture discussions and contribute to the development of the enterprise data architecture.</li></ul>
&bull; Collaborate with database administrators to ensure physical database design aligns with data models. &bull; Stay up-to-date with industry trends, emerging technologies, and data modeling best practices.
Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems, or related field.</li><li>5-8 years of experience in data modeling, data architecture, or related field. Proficiency in data modeling.</li><li>Strong understanding of data modeling concepts, including entity-relationship modeling, dimensional modeling, and data normalization.</li><li>Experience using Erwin Data Modeler is a plus.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work in a team environment and collaborate with stakeholders.</li></ul></div>

Senior Data Modeler

<div><ul><li>Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets.</li><li>Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data.</li><li>Participates in evaluation and deployment of big data tools, relevant to the development.</li><li>Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization.</li><li>Optimize and tune data systems for performance and reliability.</li><li>Develop and implement data models and schemas to support business intelligence and analytics needs.</li><li>Monitor and troubleshoot data pipelines to ensure smooth and efficient operation.</li><li>Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure.</li><li>Document data engineering architectures and follow best practices.</li></ul><div>
Qualifications: 
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>5+ years of experience as a Data Engineer or similar role.</li><li>Strong programming skills in Python.</li><li>Experience with UNIX system administration using command line.</li><li>Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka, Proficiency in SQL and experience with relational databases.</li><li>Knowledge of data modeling, ETL processes, and data warehousing solutions.</li><li>Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
</li><li>Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO.</li><li>Experience in enhancing the performance of big data applications, including optimizing system operations.</li></ul></div></div>

Senior Data Engineer

<div>Job Summary
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul> 

Requirements 
 
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

<div>Job Summary
We are seeking an ETL Developer to design, develop, and maintain enterprise data integration solutions supporting banking operations, reporting, analytics, and regulatory requirements.
Key Responsibilities
Develop and maintain ETL workflows using Informatica PowerCenter and/or IBM DataStage.
Extract, transform, and load data from multiple banking systems.
Support Data Warehouse and Data Lake initiatives.
Optimize ETL performance and ensure data quality.
Troubleshoot and resolve data integration issues.
Collaborate with business and data teams to define data requirements.
Support regulatory and management reporting processes. 
Requirements 
4+ years of ETL development experience.
Strong experience with Informatica PowerCenter and/or IBM DataStage.
Strong SQL and database skills.
Experience with Data Warehousing concepts.
Knowledge of data quality and data governance practices.
Experience working with Oracle, SQL Server, or other enterprise databases.
Preferred Qualifications
Banking domain experience.
Experience supporting regulatory reporting environments.
Knowledge of Data Lakes and Big Data technologies</div>

ETL Developer (Informatica / DataStage)

Confidential Semi-Government

<div>
 
 We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 
 
 
 Role Overview:
 
 Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop machine learning models for anomaly detection.
 </li>
 <li>
 Process and analyze massive datasets from SIEM and threat intelligence feeds.
 </li>
 <li>
 Collaborate with security analysts to automate complex threat hunting tasks.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Mathematics, or Computer Science.
 </li>
 <li>
 5+ years in data science within a cybersecurity context.
 </li>
 <li>
 Certified Analytics Professional certification.
 </li>
 </ul>
 
 
</div>

Data Scientist | Machine Learning & Threat Detection

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236 data modeler big data engineer jobs In Riyadh

Data Modeler / Big Data Engineer

Data Modeler / Big Data Engineer

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Senior Data Engineer

ETL Developer (Informatica / DataStage)

Data Scientist | Machine Learning & Threat Detection