senior ai engineer

senior devops engineer

senior software engineer

data engineer

data scientist

senior data engineer

GB Corp

<div>
 <p>
  Responsible for designing, building, and maintaining robust data pipelines and platforms that enable reliable data flow across the organization. This role focuses on developing scalable and high-performance data solutions, optimizing data processing, and ensuring data availability for analytics and business applications. The Senior Data Engineer will leverage expertise in modern data engineering practices, cloud technologies, and big data platforms to deliver efficient, secure, and well-governed data ecosystems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Architecture &amp; Design:
 </p>
 <ul>
  <li>
   Develop and maintain a scalable, secure, and high-performance data architecture aligned with business needs.
  </li>
  <li>
   Ensure seamless data flow between systems, integrating structured and unstructured data sources.
  </li>
  <li>
   Define and implement best practices for data storage, processing, and security.
  </li>
  <li>
   Select and optimize data platforms, tools, and technologies for efficiency and cost-effectiveness.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Data Modeling:
 </p>
 <ul>
  <li>
   Design and implement data models (dimensional, relational, Data Vault, NoSQL) to support operational and analytical use cases.
  </li>
  <li>
   Ensure consistency, accuracy, and integrity of data models across the organization.
  </li>
  <li>
   Continuously refine models to improve performance and adaptability to evolving business requirements.
  </li>
  <li>
   Establish and enforce data modeling standards and governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Data Engineering and Pipeline Development:
 </p>
 <ul>
  <li>
   Build, optimize, and maintain automated ETL/ELT pipelines to process large-scale data.
  </li>
  <li>
   Troubleshoot, debug and upgrade existing ETL solutions.
  </li>
  <li>
   Enhance data infrastructure to support efficient storage, retrieval, and transformation.
  </li>
  <li>
   Implement automation to reduce manual processes and increase workflow efficiency.
  </li>
  <li>
   Ensure data pipelines are robust, scalable, and support real-time and batch processing.
  </li>
  <li>
   Identify data discrepancies and develop data metrics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Innovation &amp; Technology Adoption:
 </p>
 <ul>
  <li>
   Stay up to date with the latest trends in data architecture, engineering, and analytics to identify and implement innovative solutions.
  </li>
  <li>
   Research and integrate cutting-edge tools and platforms to enhance data management capabilities and streamline processes.
  </li>
  <li>
   Encourage a team culture focused on continuous improvement, supporting experimentation with new technologies and methodologies.
  </li>
  <li>
   Develop and execute a technology roadmap to ensure the team is using the best tools available to meet both current and future data needs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Optimization &amp; Performance Management:
 </p>
 <ul>
  <li>
   Define and enforce data governance policies, ensuring compliance with GDPR, and other regulations.
  </li>
  <li>
   Monitor and optimize database performance, query execution, and storage efficiency.
  </li>
  <li>
   Manage data quality, metadata, and lineage to ensure reliability and transparency.
  </li>
  <li>
   Implement proactive monitoring and alerting for data infrastructure health.
  </li>
  <li>
   Monitor performance and quality control plans to identify improvements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Collaboration with Cross-Functional Teams:
 </p>
 <ul>
  <li>
   Work closely with data scientists, business analysts, and BI teams to understand data requirements and design solutions that enable advanced analytics, reporting, and decision-making.
  </li>
  <li>
   Act as a bridge between business units and IT, ensuring that data architecture and engineering solutions meet both technical and business needs.
  </li>
  <li>
   Lead efforts to optimize data workflows and processes across departments, driving efficiency and alignment in data operations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Educational Requirements: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field.
 </p>
 <p>
  Advanced degrees provide deeper technical and strategic insights, enabling the professional to drive complex data solutions and innovations at the organizational level.
 </p>
 <p>
  Special Certification or Training Required:
 </p>
 <ul>
  <li>
   Certified Data Management Professional (CDMP) &ndash; Preferred for expertise in data architecture and governance is preferred.
  </li>
  <li>
   Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Engineer Associate is preferred.
  </li>
 </ul>
 <p>
  Required Industry Experience:
 </p>
 <ul>
  <li>
   3-6 years of experience in Data Engineering, and Data Modeling with a proven track record of leading large-scale enterprise data initiatives.
  </li>
  <li>
   Expertise in designing, implementing, and optimizing complex data ecosystems in hybrid environments.
  </li>
  <li>
   Strong background in data governance, security, compliance, and risk management across enterprise systems.
  </li>
  <li>
   Hands-on experience managing data integration, migration, and transformation projects in a large-scale business setting.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Technological Requirements:
 </p>
 <ul>
  <li>
   Deep expertise in architecting, optimizing, and managing both relational (e.g., Oracle, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases.
  </li>
  <li>
   Proven track record of designing and implementing scalable, enterprise-level Data Warehouse (DWH) architectures.
  </li>
  <li>
   Expert-level proficiency in writing and tuning complex SQL queries, stored procedures, functions, and triggers for high-performance data processing.
  </li>
  <li>
   Strong analytical skills related to structured or unstructured data sets.
  </li>
  <li>
   Advanced expertise in data modeling techniques, including Data Vault, Dimensional Modeling, and Entity-Relationship Modeling.
  </li>
  <li>
   Extensive experience in building and maintaining robust, scalable data pipelines (ETL/ELT) using modern technologies
  </li>
  <li>
   Expert programming skills in Python and SQL for data engineering and automation tasks, along with a strong understanding of version control (Git)
  </li>
  <li>
   Proven expertise in architecting and managing data lakes and data warehouses for big data environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Language Requirements: Fluent in English.
 </p>
 <p>
 </p>
</div>


Senior Data Engineer

NorthBay Solutions

<div><h2 class="jobSectionHeader"><b>Senior Data Engineer &ndash; AWS</b></h2><p><b>
Experience:</b> 5&ndash;7 Years<br>
<b>Location:</b> Cairo, Egypt (Onsite)<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
Position Overview</b></h3><p>
We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Develop and maintain batch and real-time data pipelines on AWS</li><li>
Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services</li><li>
Assist in workflow orchestration using Apache Airflow (MWAA)</li><li>
Support serverless data processing using AWS Lambda</li><li>
Participate in designing data warehousing solutions using Amazon Redshift</li><li>
Design and manage data storage strategies with Amazon S3 and DynamoDB</li><li>
Apply data governance and access controls using AWS DataZone</li><li>
Monitor and troubleshoot data platform issues using Amazon CloudWatch</li><li>
Collaborate with Analytics, BI, Data Science, and Business teams</li><li>
Write clean, efficient code, and perform peer code reviews</li><li>
Follow security, compliance, and data governance standards</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li>
5&ndash;7 years of experience in Data Engineering or related roles</li><li>
3+ years of hands-on experience designing data solutions on AWS</li><li>
Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3</li><li>
Strong programming skills in Python</li><li>
Advanced SQL skills with performance tuning expertise</li><li>
Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices</li><li>
Familiarity with Agile/Scrum delivery environments</li><li>
Problem-solving and analytical skills</li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li>
AWS Professional Certification (Solutions Architect / Data Analytics Specialty)</li><li>
Experience with real-time streaming (Kinesis, Kafka)</li><li>
Exposure to data governance and metadata management tools</li><li>
Knowledge of cost optimization in AWS</li></ul><p>
</p><p>GDoAOp0ZW6</p></div>

Senior Data Engineer – AWS

NorthBay - Pakistan

<div>
 <strong>
  Experience:
 </strong>
 5&ndash;7 Years
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Cairo, Egypt (Onsite)
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain batch and real-time data pipelines on AWS
  </li>
  <li>
   Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services
  </li>
  <li>
   Assist in workflow orchestration using Apache Airflow (MWAA)
  </li>
  <li>
   Support serverless data processing using AWS Lambda
  </li>
  <li>
   Participate in designing data warehousing solutions using Amazon Redshift
  </li>
  <li>
   Design and manage data storage strategies with Amazon S3 and DynamoDB
  </li>
  <li>
   Apply data governance and access controls using AWS DataZone
  </li>
  <li>
   Monitor and troubleshoot data platform issues using Amazon CloudWatch
  </li>
  <li>
   Collaborate with Analytics, BI, Data Science, and Business teams
  </li>
  <li>
   Write clean, efficient code, and perform peer code reviews
  </li>
  <li>
   Follow security, compliance, and data governance standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of experience in Data Engineering or related roles
  </li>
  <li>
   3+ years of hands-on experience designing data solutions on AWS
  </li>
  <li>
   Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
  </li>
  <li>
   Strong programming skills in Python
  </li>
  <li>
   Advanced SQL skills with performance tuning expertise
  </li>
  <li>
   Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
  </li>
  <li>
   Familiarity with Agile/Scrum delivery environments
  </li>
  <li>
   Problem-solving and analytical skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
  </li>
  <li>
   Experience with real-time streaming (Kinesis, Kafka)
  </li>
  <li>
   Exposure to data governance and metadata management tools
  </li>
  <li>
   Knowledge of cost optimization in AWS
  </li>
 </ul>
</div>


EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p>
Job Summary:
</p><p>We are seeking a passionate and talented <b>Data Engineer Senior Lead</b> to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.<br>
<br>
<b>Key Responsibilities:</b></p><ul><li>
Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near&ndash;real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently.</li><li>
Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility.</li><li>
Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models.</li><li>
Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments.</li><li>
Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution.</li></ul><br>
<b>
Requirements</b><br>
<p></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role.</li><li>
Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use.</li><li>
Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems.</li><li>
Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks.</li><li>
Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities.</li></ul></div>

Senior Data Engineer Lead

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><h1 class="jobSectionHeader"><b><br>
</b></h1><div></div><h2 class="jobSectionHeader"><b>
Data Engineer (PostgreSQL)</b></h2><p><b>
Platform: PHP-Based Enterprise Application</b></p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking a <b>Data Engineer</b> to design, optimize, and scale data systems powering our PHP-based application platform.</p><p>
You will be responsible for architecting and maintaining high-performance PostgreSQL databases, building data pipelines, ensuring data integrity, and enabling analytics and operational reporting across the system.</p><p>
This role sits at the intersection of backend engineering, database architecture, and data infrastructure. You will work closely with PHP developers to ensure data models, queries, and pipelines are efficient, reliable, and scalable.</p><div></div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
PostgreSQL Architecture &amp; Optimization</b></h3><p>
Design and maintain robust PostgreSQL database schemas aligned with business requirements.</p><p>
Optimize complex queries, indexes, and execution plans.</p><p>
Analyze and resolve performance bottlenecks.</p><p>
Implement partitioning, replication, and scaling strategies where appropriate.</p><p>
Ensure data consistency, integrity, and transactional reliability.</p><div></div><h3 class="jobSectionHeader"><b>
Data Modeling &amp; System Design</b></h3><p>
Design normalized and denormalized schemas based on workload requirements.</p><p>
Define data governance standards (naming conventions, indexing standards, migration strategies).</p><p>
Collaborate with backend engineers to align database design with PHP application logic.</p><p>
Improve schema evolution processes and migration safety.</p><div></div><h3 class="jobSectionHeader"><b>
Performance &amp; Scalability</b></h3><p>
Monitor database performance metrics.</p><p>
Implement caching strategies where appropriate (e.g., Redis integration).</p><p>
Support horizontal scaling, read replicas, and failover strategies.</p><p>
Plan capacity and forecast growth.</p><div></div><h3 class="jobSectionHeader"><b>
Data Pipelines &amp; ETL</b></h3><p>
Build and maintain data pipelines for:</p><p>
Reporting</p><p>
Analytics</p><p>
Operational dashboards</p><p>
Design ETL/ELT processes using SQL and scripting languages.</p><p>
Ensure data quality, validation, and monitoring.</p><p>
Integrate with external APIs or third-party data sources when required.</p><div></div><h3 class="jobSectionHeader"><b>
Reliability &amp; Operations</b></h3><p>
Implement backup, recovery, and disaster recovery strategies.</p><p>
Automate routine maintenance tasks.</p><p>
Improve database observability (monitoring, logging, alerting).</p><p>
Support incident response related to data or performance issues.</p><div></div><h3 class="jobSectionHeader"><b>
Cross-Functional Collaboration</b></h3><p>
Work closely with PHP backend engineers to:</p><p>
Optimize ORM usage and query performance</p><p>
Improve transaction design</p><p>
Reduce N+1 query issues</p><p>
Support product and analytics teams with data extraction and modeling needs.</p><p>
Document data architecture and best practices.</p><div></div><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><p>
4+ years of experience in Data Engineering or Database Engineering roles.</p><p>
Strong expertise in <b>PostgreSQL</b> in production environments.</p><p>
Deep knowledge of:</p><p>
Indexing strategies</p><p>
Query planning and optimization</p><p>
Transaction isolation levels</p><p>
Locking and concurrency control</p><p>
Experience designing scalable relational data models.</p><p>
Proficiency in SQL (advanced level).</p><p>
Experience working with backend engineering teams in production systems.</p><div></div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><p>
Experience supporting applications built in PHP (Laravel or Symfony).</p><p>
Familiarity with ORMs and query builders.</p><p>
Experience with:</p><p>
Data warehousing concepts</p><p>
ETL orchestration tools</p><p>
Message queues</p><p>
Cloud database experience (AWS RDS, Cloud SQL, etc.).</p><p>
Experience implementing replication or high-availability setups.</p><div></div><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><p>
Experience building reporting pipelines.</p><p>
Familiarity with BI tools.</p><p>
Exposure to distributed systems concepts.</p><p>
Experience improving legacy schema designs.</p><div></div><h2 class="jobSectionHeader"><b>
Ideal Candidate Profile</b></h2><p>
The ideal candidate:</p><p>
Thinks deeply about data structure and performance.</p><p>
Is proactive in identifying inefficiencies.</p><p>
Balances normalization with pragmatic performance decisions.</p><p>
Collaborates effectively with application engineers.</p><p>
Takes ownership of reliability and long-term scalability.</p></div></div></div></div></div><div></div>

Money Fellows

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
<b>
Money Fellows</b> is transforming how people save, borrow, and invest. As the world&rsquo;s first and largest Money Circles app, we&rsquo;ve digitized the traditional <b>ROSCA </b>model to make it smarter, safer, and more accessible.<br>
<br>
Since <b>2018</b>, we&rsquo;ve empowered over <b>7 million users</b> to take control of their financial futures with confidence.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><br>
<ul>
<li>
Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load large volumes of data from various sources.</li>
<li>Collaborate with data scientists, software engineers, and other stakeholders to ensure data pipeline requirements are met.</li>
<li>Design and implement efficient data models and database schemas to support data storage, retrieval, and analysis.</li>
<li>Optimize database performance and query execution.</li>
<li>Develop and implement data transformation processes to cleanse, normalize, and aggregate data for analytics and reporting purposes.</li>
<li>Apply data validation and quality checks to ensure accuracy and reliability of data.</li>
<li>Design and maintain data warehouse architecture and infrastructure to support the storage and retrieval of large volumes of structured and unstructured data.</li>
<li>Monitor data pipelines, database performance, and system health to identify and resolve performance bottlenecks and issues.</li></ul><br>
<div></div>
<h3 class="jobSectionHeader"><b>
Key Qualifications</b></h3><br>
<ul>
<li>
Bachelor&rsquo;s degree in computer science, Data Science, Engineering, or a related field.</li>
<li>Proven experience (typically 5+ years) as a Data Engineer, Big Data Engineer, or a similar role, preferably in the fintech industry or a financial institution.</li>
<li>Strong programming skills in languages such as Python or Java</li>
<li>Experience with data warehouse solutions such as Amazon Redshift, Google BigQuery, or similar platforms.</li>
<li>Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, NoSQL databases).</li>
<li>Familiarity with big data technologies, such as Hadoop, Hive, HBase, or similar frameworks.</li>
<li>Knowledge of data modelling principles and database design.</li>
<li>Understanding of data governance, data security, and compliance standards in the fintech industry.</li>
<li>Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3><div><br>
We care about your well-being from day one, whether you&rsquo;re a candidate or a team member, by actively fostering a culture of psychological safety where you feel respected, heard, and supported.<br>
</div><ul><li><b>Mental Well-being:</b> We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces that encourage trust and transparency.</li>
<li> <b>Physical Health:</b> Stay active and energized with a gym allowance, healthy office snacks, and monthly consultations with a nutritionist.</li>
<li> <b>Social Wellness:</b> Build meaningful connections through team-building activities, engaging town halls, and collaborative workspaces that inspire innovation.</li>
<li> <b>Financial Empowerment:</b> Enjoy competitive salaries, pension plans, and exclusive employee discounts on our Circles to support your financial stability.</li>
<li> <b>Growth Opportunities:</b> Grow your career through workshops, internal mobility programs, and opportunities for learning and advancement.</li></ul><div><br>
</div><div>
Join us and be part of a community that supports every aspect of your well-being and growth.</div><h3 class="jobSectionHeader"><b><br>
About Money Fellows
</b></h3><div>Money Fellows is revolutionizing the way people save, borrow, and invest! As the world's first and largest Money Circles app, we've digitized the traditional ROSCA model, making it smarter, safer, and more accessible for over 7 million users since 2018.<br>
<br>
Backed by $45M+ in funding and gearing up for $100M Series C, we&rsquo;re scaling fast&mdash;expanding beyond Egypt and launching game-changing financial products. Regulated by the Central Bank of Egypt, we blend community-driven finance with cutting-edge tech to empower users with seamless, secure, and trusted financial solutions.<br>
<br>
And now, we&rsquo;ve taken it a step further with the launch of the Money Fellows Card&mdash;unlocking even more financial freedom and flexibility for our users!<br>
<br>
We&rsquo;re always on the lookout for trailblazers ready to shape the future of fintech with us!</div></div>

HireOn

<div>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 Cairo, Egypt (Onsite)
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 8&ndash;12 Years
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Salary Range:
 </strong>
 80,000 EGP &ndash; 160,000 EGP per month
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 HireOn is recruiting for its reputed international client seeking a
 <strong>
  Senior Data Engineer
 </strong>
 to lead the architecture and delivery of enterprise-grade data platforms.
 <br/>
 <br/>
 This role goes beyond pipeline development &mdash; it requires ownership of scalable architecture, performance optimization, governance, and cross-functional collaboration. The ideal candidate is a hands-on senior engineer capable of designing robust cloud-native data ecosystems while mentoring engineers and driving technical standards.
 <br/>
 <br/>
 <strong>
  What You Will Own
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   End-to-end design of batch and real-time data pipelines
  </li>
  <li>
   Enterprise data warehouse architecture and modeling strategy
  </li>
  <li>
   Workflow orchestration and automation frameworks
  </li>
  <li>
   Performance tuning and cost optimization initiatives
  </li>
  <li>
   Data governance, cataloging, and access control frameworks
  </li>
  <li>
   Monitoring, logging, and observability implementation
  </li>
  <li>
   Technical mentorship and architecture reviews
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Environment
  <br/>
  <br/>
 </strong>
 You will work extensively with modern cloud-native data technologies including:
 <br/>
 <br/>
 AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon EC2, Amazon CloudWatch, AWS DataZone
 <br/>
 <br/>
 <strong>
  Core Expertise Required In
  <br/>
  <br/>
 </strong>
 Python, Advanced SQL, Data Warehousing (Star/Snowflake), ETL/ELT best practices, Distributed Data Processing Systems
 <br/>
 <br/>
 <strong>
  What Makes You a Strong Fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8&ndash;12 years of experience in Data Engineering
  </li>
  <li>
   Strong experience designing scalable cloud-based data architectures
  </li>
  <li>
   Proven ability to independently drive technical solutions
  </li>
  <li>
   Experience mentoring engineers and contributing to architectural decisions
  </li>
  <li>
   Strong communication skills for cross-functional collaboration
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud Professional Certifications
  </li>
  <li>
   Experience with streaming platforms (Kinesis/Kafka)
  </li>
  <li>
   Exposure to metadata management and data lineage
  </li>
  <li>
   Experience working with enterprise-scale data platforms
   <br/>
   <br/>
  </li>
 </ul>
 Skills: aws glue,etl,amazon redshift,aws lambda,aws emr,snowflake
</div>


Senior Data Engineer (Onsite | Cairo, Egypt)

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Senior Data Engineer (Onsite | Cairo, Egypt)