Qureos Mentor

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior RPA &amp; AI Developer</h2>
Level: Senior 
Employment Type: Full-time 
Experience: 5+ Years 
Location: Islamabad<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking an autonomous Senior RPA &amp; AI Developer with a strong Research &amp; Development mindset to evolve and scale our intelligence layer. While our internal R&amp;D team has established an initial baseline using techniques such as Isolation Forest for anomaly detection and River / Incremental Learning for streaming data, this role is expected to take ownership of the next phase.
You will generalize and extend existing approaches, leveraging Deep Learning, advanced neural architectures, and ensemble methods to transform point solutions into a robust, reusable, and production-grade intelligence platform. This role combines advanced AI/ML engineering with high-performance automation, operating in real-time, high-volume environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Advanced AI &amp; Model Generalization<ul><li>
Evolve existing baseline algorithms (e.g., Isolation Forest, River-based models) into generalized, scalable AI systems</li><li>
Design and implement Deep Learning and ensemble architectures suitable for real-time and streaming data</li><li>
Select and validate architectures that balance performance, explainability, and operational constraints</li></ul>
Independent Research &amp; Innovation<ul><li>
Conduct independent R&amp;D to identify and prototype next-generation ML and mathematical approaches</li><li>
Continuously evaluate emerging techniques relevant to anomaly detection, pattern recognition, and automation intelligence</li><li>
Translate experimental concepts into production-ready solutions</li></ul>
Feature Engineering &amp; Data Modeling<ul><li>
Engineer high-signal features from RPA logs, system events, and operational telemetry</li><li>
Build feature pipelines compatible with both traditional ML and Deep Learning models</li><li>
Optimize feature extraction for low-latency and streaming environments</li></ul>
Hybrid Automation &amp; Intelligence Integration<ul><li>
Develop high-performance automation bots using Selenium and UiPath</li><li>
Seamlessly integrate RPA workflows with custom-built AI intelligence modules</li><li>
Ensure tight coupling between automation execution and real-time AI decisioning</li></ul>
Production Delivery &amp; Engineering Excellence<ul><li>
Own the full development lifecycle using VS Code, from experimentation to production deployment</li><li>
Deliver production-grade models capable of handling massive, streaming datasets</li><li>
Ensure robustness, scalability, and maintainability of deployed solutions</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3>
AI / ML Expertise<ul><li>
Strong hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, or equivalent)</li><li>
Deep understanding of:<ul><li>
Unsupervised learning</li><li>
Online / incremental learning</li><li>
Anomaly detection</li><li>
Predictive modeling</li></ul></li><li>
Proven ability to extend and innovate beyond baseline algorithms</li></ul>
Automation &amp; Engineering<ul><li>
Advanced Python development skills</li><li>
Hands-on expertise with Selenium and UiPath in enterprise automation contexts</li><li>
Experience building intelligent automation solutions that operate at scale</li></ul>
Distributed &amp; Streaming Systems<ul><li>
Experience or familiarity deploying AI models in high-velocity, distributed ecosystems</li><li>
Understanding of streaming data architectures and low-latency processing constraints</li></ul><h3 class="jobSectionHeader">
Soft Skills &amp; Mindset</h3><ul><li>
Strong autonomy and ownership mentality</li><li>
Research-driven mindset with the ability to move from theory to production</li><li>
Excellent problem-solving and analytical skills</li><li>
Ability to operate effectively in fast-evolving, ambiguous problem spaces</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with MLOps, model monitoring, or CI/CD for AI systems</li><li>
Knowledge of event-driven architectures or real-time processing frameworks</li><li>
Experience in large-scale automation or AI-driven operational platforms</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Work at the intersection of advanced AI research and real-world automation</li><li>
High-impact role shaping the next generation of intelligent automation platforms</li><li>
Strong technical ownership with freedom to innovate beyond established baselines</li></ul>
iZb5PxQMwT</div>

Senior Robotic Process Automation - RPA

<div><h2 class="jobSectionHeader">Job Title: Senior ML Engineer &ndash; MLOps &amp; Productionization</h2>
Level: Senior 
Employment Type: Full-time 
Experience: 7+ Years 
Location: Islamabad<h3 class="jobSectionHeader"> 
Role Overview</h3>
We are seeking a Senior ML Engineer to bridge the gap between experimental AI/ML prototypes and production-ready enterprise systems. As our AI/ML initiatives evolve from research to production, you will be responsible for operationalizing ML and LLM models, ensuring they run reliably at scale, and establishing robust engineering practices within our intelligence layer.
This role requires a hands-on engineer with deep Python expertise, strong MLOps experience, and the ability to deliver high-performance, containerized services that support large-scale, streaming data environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Production Transition &amp; Microservices Development<ul><li>
Refactor Python-based ML models and LLM chains from experimental notebooks into production-ready, containerized microservices</li><li>
Ensure robust versioning, logging, and monitoring of models in production</li><li>
Collaborate with AI/ML researchers to translate R&amp;D prototypes into scalable software</li></ul>
MLOps &amp; Deployment Pipelines<ul><li>
Build automated CI/CD pipelines for model deployment, monitoring, and retraining</li><li>
Implement model lifecycle management, including rollback strategies and reproducibility</li><li>
Integrate ML models into high-velocity streaming pipelines with low-latency requirements</li></ul>
Performance, Reliability &amp; Standards<ul><li>
Optimize ML inference logic for real-time and high-throughput environments</li><li>
Define and enforce coding standards, testing frameworks, and best practices for the AI/ML engineering team</li><li>
Ensure system stability, reliability, and observability across the intelligence layer</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Advanced Python Expertise: Beyond scripting &ndash; experience with FastAPI, design patterns, testing frameworks, and clean, maintainable code</li><li>
Containerization &amp; Orchestration: Deep experience with Docker; familiarity with Kubernetes or equivalent orchestration for ML workloads</li><li>
MLOps &amp; Deployment: Proven experience with CI/CD, model versioning, automated retraining, and tools such as MLflow, Kubeflow, or similar</li><li>
Experience operationalizing ML/LLM models in production, with strong focus on scalability and reliability</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with cloud-native AI/ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)</li><li>
Familiarity with streaming data platforms (Kafka, Pulsar, or similar)</li><li>
Exposure to monitoring, logging, and alerting frameworks for ML systems</li><li>
Knowledge of enterprise-grade security and compliance practices for AI</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong problem-solving and analytical thinking</li><li>
Ability to translate research prototypes into robust engineering solutions</li><li>
Excellent collaboration skills, capable of working across AI, data engineering, and DevOps teams</li><li>
High ownership mentality with a focus on production stability and scalability</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Play a critical role in moving cutting-edge AI/ML into production</li><li>
Shape the MLOps strategy and best practices for a growing intelligence platform</li><li>
Work in a fast-moving, enterprise-scale AI/ML environment with real business impact</li></ul>
DWxqJxDANB</div>

Senior ML Engineer

<div><h2 class="jobSectionHeader">Please read the JD Carefully 
 
Job Title: Senior Data Engineer / SSIS Engineer</h2>
Department/Section: Data and Analytics Office / Data Engineering<h2 class="jobSectionHeader">
Language : Arabic &amp; Non Arabic 
 
Location: Riyadh 
 
Industry - Govt.Sector Org. 
 
Experience: 7+ Years 
 
Job Purpose</h2>
The Senior Data Engineer / SSIS Engineer is responsible for designing, building, and maintaining scalable data pipelines, ETL processes, and data marts that enable reliable analytics and data-driven decision-making. A key focus of this role is the development and maintenance of a robust semantic layer, ensuring structured, consistent, and business-friendly data access across the organization.
The role involves close collaboration with analytics, data science, and business teams to deliver high-quality data models, feature stores, and industrialized data products while upholding best practices in data engineering, data quality, and documentation.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Data Modeling</h3><ul><li>
Design, develop, and maintain robust logical and physical data models that support analytical and reporting requirements.</li><li>
Ensure models are scalable, performant, and aligned with business needs.</li><li>
Apply industry-standard modeling techniques; experience with Data Vault methodology is a plus.</li></ul><h3 class="jobSectionHeader">
2. Semantic Layer Development</h3><ul><li>
Design, implement, and maintain a centralized semantic layer to enable consistent and reusable business metrics.</li><li>
Define and manage ontologies, taxonomies, hierarchies, and business definitions to ensure a common understanding of data across teams.</li><li>
Enable self-service analytics by simplifying complex data structures for business users.</li></ul><h3 class="jobSectionHeader">
3. Data Pipeline Development (ETL/ELT)</h3><ul><li>
Develop, optimize, and maintain ETL pipelines, with a strong focus on SSIS, to automate data ingestion, transformation, and loading.</li><li>
Ensure high reliability, performance, and availability of data pipelines across multiple source systems and data platforms.</li><li>
Support batch and near&ndash;real-time processing where required.</li></ul><h3 class="jobSectionHeader">
4. Data Quality &amp; Consistency</h3><ul><li>
Implement data quality checks and controls throughout the data lifecycle, starting from source systems.</li><li>
Monitor data accuracy, completeness, and consistency, and proactively resolve data quality issues.</li><li>
Collaborate with stakeholders to define and enforce data quality standards.</li></ul><h3 class="jobSectionHeader">
5. Collaboration with Stakeholders</h3><ul><li>
Work closely with data scientists, analysts, BI developers, and business stakeholders to gather requirements and translate them into scalable data solutions.</li><li>
Support analytical use cases, feature engineering, and reporting needs through well-designed data assets.</li></ul><h3 class="jobSectionHeader">
6. Documentation &amp; Best Practices</h3><ul><li>
Document data models, ETL workflows, semantic layer configurations, and data definitions.</li><li>
Promote best practices in data engineering, naming conventions, version control, and deployment processes.</li><li>
Ensure transparency, traceability, and knowledge sharing across teams.</li></ul><h3 class="jobSectionHeader">
7. Technical Mentorship</h3><ul><li>
Mentor and guide junior data engineers.</li><li>
Provide technical leadership in data modeling, SSIS development, and semantic layer design.</li><li>
Contribute to continuous improvement of data engineering standards and frameworks.</li></ul><h2 class="jobSectionHeader"> 
Required Qualifications &amp; Skills</h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>
Strong hands-on experience as a Senior Data Engineer or SSIS Engineer.</li><li>
Advanced expertise in SSIS, SQL, and relational data warehouses.</li><li>
Strong knowledge of data modeling techniques (star schema, snowflake, dimensional modeling).</li><li>
Experience designing and maintaining data marts and semantic layers.</li><li>
Solid understanding of data quality management and ETL best practices.</li><li>
Strong communication skills and ability to work with both technical and non-technical stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Nice to Have</h2><ul><li>
Experience with Data Vault modeling.</li><li>
Exposure to modern analytics platforms, cloud data services, or feature stores.</li><li>
Experience supporting self-service BI and analytics use cases.</li></ul>
ZVjrD44tJV</div>

Senior Data Engineer

<div><h2 class="jobSectionHeader">Please read the JD Carefully 
 
Job Title: Senior Data Engineer / SSIS Engineer</h2>
Department/Section: Data and Analytics Office / Data Engineering<h2 class="jobSectionHeader">
Language : Arabic &amp; Non Arabic 
 
Location: Riyadh 
 
Industry - Govt.Sector Org. 
 
Experience: 7+ Years 
 
Job Purpose</h2>
The Senior Data Engineer / SSIS Engineer is responsible for designing, building, and maintaining scalable data pipelines, ETL processes, and data marts that enable reliable analytics and data-driven decision-making. A key focus of this role is the development and maintenance of a robust semantic layer, ensuring structured, consistent, and business-friendly data access across the organization.
The role involves close collaboration with analytics, data science, and business teams to deliver high-quality data models, feature stores, and industrialized data products while upholding best practices in data engineering, data quality, and documentation.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Data Modeling</h3><ul><li>
Design, develop, and maintain robust logical and physical data models that support analytical and reporting requirements.</li><li>
Ensure models are scalable, performant, and aligned with business needs.</li><li>
Apply industry-standard modeling techniques; experience with Data Vault methodology is a plus.</li></ul><h3 class="jobSectionHeader">
2. Semantic Layer Development</h3><ul><li>
Design, implement, and maintain a centralized semantic layer to enable consistent and reusable business metrics.</li><li>
Define and manage ontologies, taxonomies, hierarchies, and business definitions to ensure a common understanding of data across teams.</li><li>
Enable self-service analytics by simplifying complex data structures for business users.</li></ul><h3 class="jobSectionHeader">
3. Data Pipeline Development (ETL/ELT)</h3><ul><li>
Develop, optimize, and maintain ETL pipelines, with a strong focus on SSIS, to automate data ingestion, transformation, and loading.</li><li>
Ensure high reliability, performance, and availability of data pipelines across multiple source systems and data platforms.</li><li>
Support batch and near&ndash;real-time processing where required.</li></ul><h3 class="jobSectionHeader">
4. Data Quality &amp; Consistency</h3><ul><li>
Implement data quality checks and controls throughout the data lifecycle, starting from source systems.</li><li>
Monitor data accuracy, completeness, and consistency, and proactively resolve data quality issues.</li><li>
Collaborate with stakeholders to define and enforce data quality standards.</li></ul><h3 class="jobSectionHeader">
5. Collaboration with Stakeholders</h3><ul><li>
Work closely with data scientists, analysts, BI developers, and business stakeholders to gather requirements and translate them into scalable data solutions.</li><li>
Support analytical use cases, feature engineering, and reporting needs through well-designed data assets.</li></ul><h3 class="jobSectionHeader">
6. Documentation &amp; Best Practices</h3><ul><li>
Document data models, ETL workflows, semantic layer configurations, and data definitions.</li><li>
Promote best practices in data engineering, naming conventions, version control, and deployment processes.</li><li>
Ensure transparency, traceability, and knowledge sharing across teams.</li></ul><h3 class="jobSectionHeader">
7. Technical Mentorship</h3><ul><li>
Mentor and guide junior data engineers.</li><li>
Provide technical leadership in data modeling, SSIS development, and semantic layer design.</li><li>
Contribute to continuous improvement of data engineering standards and frameworks.</li></ul><h2 class="jobSectionHeader"> 
Required Qualifications &amp; Skills</h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>
Strong hands-on experience as a Senior Data Engineer or SSIS Engineer.</li><li>
Advanced expertise in SSIS, SQL, and relational data warehouses.</li><li>
Strong knowledge of data modeling techniques (star schema, snowflake, dimensional modeling).</li><li>
Experience designing and maintaining data marts and semantic layers.</li><li>
Solid understanding of data quality management and ETL best practices.</li><li>
Strong communication skills and ability to work with both technical and non-technical stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Nice to Have</h2><ul><li>
Experience with Data Vault modeling.</li><li>
Exposure to modern analytics platforms, cloud data services, or feature stores.</li><li>
Experience supporting self-service BI and analytics use cases.</li></ul>
uj72dQYmlb</div>

<div><h2 class="jobSectionHeader">Job Title: Data Modeler (Banking Domain) &ndash; Arabic Speaker</h2><h3 class="jobSectionHeader">
Experience: Minimum 6+ Years (Mandatory)</h3><h3 class="jobSectionHeader">
Location: Riyadh</h3><h3 class="jobSectionHeader">
Language Requirement: Arabic (Mandatory), English (Professional proficiency)</h3><h3 class="jobSectionHeader"> 

Note: Please read the JD and share Cv as per JD 
 
Job Summary</h3>
We are seeking an experienced Data Modeler with strong expertise in designing enterprise-level data models for banking data warehouses. The ideal candidate will work closely with business, analytics, and ETL teams to ensure data models are scalable, consistent, and aligned with business and technical requirements. Arabic language proficiency is mandatory for stakeholder interaction and documentation.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and maintain logical and physical data models for enterprise data warehouses in banking environments</li><li>
Develop enterprise-wide and subject-area data models, including:<ul><li>
Customer</li><li>
Account</li><li>
Transaction</li><li>
Product</li></ul></li><li>
Model facts, dimensions, hierarchies, and conformed dimensions to support analytics and reporting</li><li>
Collaborate with business stakeholders to translate requirements into robust data models</li><li>
Perform data profiling and validation using strong SQL skills to ensure data quality and consistency</li><li>
Ensure alignment between data models and ETL/ELT processes, including transformation logic implemented using Informatica</li><li>
Support data governance, standards, and best practices across the data warehouse</li><li>
Review and optimize existing data models for performance and scalability</li><li>
Document data models clearly for technical and business users (Arabic &amp; English)</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
Minimum 6+ years of hands-on experience in data modeling (mandatory)</li><li>
Strong experience in banking domain data warehouses</li><li>
Expertise in logical and physical data modeling</li><li>
Strong understanding of dimensional modeling (Star/Snowflake schemas)</li><li>
Hands-on SQL expertise for data analysis and validation</li><li>
Experience working with Informatica ETL/ELT processes</li><li>
Strong understanding of data warehouse architecture and best practices</li><li>
Arabic language proficiency &ndash; mandatory</li><li>
Good communication skills in English</li></ul>
y9GGYyQ0Pc</div>

Data Modeler

<div><h2 class="jobSectionHeader">Job Title: Data Modeler (Banking Domain) &ndash; Arabic Speaker</h2><h3 class="jobSectionHeader">
Experience: Minimum 6+ Years (Mandatory)</h3><h3 class="jobSectionHeader">
Location: Riyadh</h3><h3 class="jobSectionHeader">
Language Requirement: Arabic (Mandatory), English (Professional proficiency)</h3><h3 class="jobSectionHeader"> 

Note: Please read the JD and share Cv as per JD 
 
Job Summary</h3>
We are seeking an experienced Data Modeler with strong expertise in designing enterprise-level data models for banking data warehouses. The ideal candidate will work closely with business, analytics, and ETL teams to ensure data models are scalable, consistent, and aligned with business and technical requirements. Arabic language proficiency is mandatory for stakeholder interaction and documentation.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and maintain logical and physical data models for enterprise data warehouses in banking environments</li><li>
Develop enterprise-wide and subject-area data models, including:<ul><li>
Customer</li><li>
Account</li><li>
Transaction</li><li>
Product</li></ul></li><li>
Model facts, dimensions, hierarchies, and conformed dimensions to support analytics and reporting</li><li>
Collaborate with business stakeholders to translate requirements into robust data models</li><li>
Perform data profiling and validation using strong SQL skills to ensure data quality and consistency</li><li>
Ensure alignment between data models and ETL/ELT processes, including transformation logic implemented using Informatica</li><li>
Support data governance, standards, and best practices across the data warehouse</li><li>
Review and optimize existing data models for performance and scalability</li><li>
Document data models clearly for technical and business users (Arabic &amp; English)</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
Minimum 6+ years of hands-on experience in data modeling (mandatory)</li><li>
Strong experience in banking domain data warehouses</li><li>
Expertise in logical and physical data modeling</li><li>
Strong understanding of dimensional modeling (Star/Snowflake schemas)</li><li>
Hands-on SQL expertise for data analysis and validation</li><li>
Experience working with Informatica ETL/ELT processes</li><li>
Strong understanding of data warehouse architecture and best practices</li><li>
Arabic language proficiency &ndash; mandatory</li><li>
Good communication skills in English</li></ul>
izIL4mBtPn</div>

<div><h2 class="jobSectionHeader">Job Title: Data Engineer &ndash; Streaming &amp; Real-Time Storage</h2>
Level: Intermediate / Senior 
Employment Type: Full-time<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking a Data Engineer to own and optimize the data infrastructure that powers our automation and AI ecosystem. You will be responsible for ensuring high-concurrency, low-latency data flow, maintaining data integrity, and designing storage strategies that support both real-time analytics and AI model outputs.
This role requires expertise in streaming architectures, database optimization, and system integration, with a focus on maintaining performance as data volume grows.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Pipeline Optimization &amp; Streaming<ul><li>
Refine and manage Kafka stream consumers and producers for high-throughput, low-latency processing</li><li>
Ensure timely ingestion of data from RPA sources to storage and analytical sinks</li><li>
Monitor, troubleshoot, and optimize streaming pipelines for reliability and performance</li></ul>
Schema &amp; Storage Design<ul><li>
Optimize relational (MySQL) and non-relational storage strategies for high-write environments</li><li>
Design scalable schemas to support AI/ML outputs and downstream analytics</li><li>
Implement storage solutions that balance speed, reliability, and query efficiency</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure data integrity, consistency, and quality across streaming pipelines</li><li>
Collaborate with data engineers and analysts to enforce standards and monitoring</li><li>
Implement validation and alerting mechanisms for real-time data</li></ul>
Scaling &amp; Performance Strategy<ul><li>
Design high-performance ingestion patterns to replace basic database inserts where needed</li><li>
Support infrastructure growth, ensuring the system scales with increasing data volumes</li><li>
Provide guidance on architectural improvements and optimization opportunities</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Streaming &amp; Messaging: Expert knowledge of Kafka (Producers/Consumers, Connect, Schema Registry)</li><li>
Database Engineering: Strong SQL optimization skills; experience in write-heavy, high-concurrency environments</li><li>
System Integration: Experience building reliable connectors between distributed systems</li><li>
Familiarity with real-time storage patterns and high-availability architectures</li><li>
Experience monitoring and troubleshooting production data pipelines</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with NoSQL or in-memory databases (Redis, Cassandra, etc.)</li><li>
Knowledge of cloud-based streaming platforms (AWS Kinesis, GCP Pub/Sub, Azure Event Hubs)</li><li>
Exposure to MLOps pipelines or real-time AI deployment scenarios</li><li>
Familiarity with containerization and orchestration (Docker, Kubernetes)</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong problem-solving and analytical skills</li><li>
Ability to operate in fast-paced, high-velocity environments</li><li>
Effective collaboration with data scientists, ML engineers, and operations teams</li><li>
Ownership mentality with a focus on performance, reliability, and scalability</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Own the data backbone of a cutting-edge automation and AI ecosystem</li><li>
Shape high-performance streaming pipelines that directly power ML models</li><li>
Work in a fast-moving, innovative, and distributed environment with strong technical ownership</li></ul>
bF6QhguRRm</div>

Data Engineer – Streaming & Real-Time Storage

Join Datamatics Global Services Ltd and explore 17   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Datamatics Global Services Ltd

ABOUT_COMPANY

Senior Robotic Process Automation - RPA

Senior ML Engineer

Senior Data Engineer

Senior Data Engineer

Data Modeler

Data Modeler

Data Engineer – Streaming & Real-Time Storage