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data engineer (databricks + pyspark) Jobs in Egypt

data engineer (databricks + pyspark)

data scientist

data engineer databricks pyspark

Capgemini

<div><div><div><p>Cairo</p><div>
Data Engineer (Databricks + PySpark)</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div>Your Role</div></div><div><ul><li>
Design and implement robust, scalable data pipelines (e.g., ADF Pipelines, Databricks).</li><li>
Develop maintainable ETL pipelines using PySpark following coding guidelines.</li><li>
Perform data model development and versioning.</li><li>
Work with Azure cloud infrastructure: Data Factory, Data Lake, Databricks.</li><li>
Develop and monitor schema and data migrations.</li><li>
Optimize ETL performance.</li><li>
Transform SQL code into Databricks workflows written in Python.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Programming: Python, PySpark, PowerShell (optional), pytest (optional).</li><li>
Databases: SQL, MS SQL Server, T-SQL, data modelling techniques.</li><li>
Azure Stack: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Cosmos DB.</li><li>
Practices &amp; Tools: Clean code, DevOps, Testing, CI/CD (Azure DevOps, Git).</li><li>
Operating Systems: Windows, Azure.</li><li>
Methods: Scrum, Agile.<br>
<br>
Nice to have skills:</li><li>
PowerBI.</li><li>
Additional programming languages.</li><li>
Object-oriented programming.</li></ul></div></div></div><p>
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
432480-en_US</div></div><div><div>
Posted on</div><div>
09 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Engineer (Databricks + PySpark)

<div>
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 <br/>
 <br/>
 <strong>
  Your Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement robust, scalable data pipelines (e.g., ADF Pipelines, Databricks).
  </li>
  <li>
   Develop maintainable ETL pipelines using PySpark following coding guidelines.
  </li>
  <li>
   Perform data model development and versioning.
  </li>
  <li>
   Work with Azure cloud infrastructure: Data Factory, Data Lake, Databricks.
  </li>
  <li>
   Develop and monitor schema and data migrations.
  </li>
  <li>
   Optimize ETL performance.
  </li>
  <li>
   Transform SQL code into Databricks workflows written in Python.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Programming: Python, PySpark, PowerShell (optional), pytest (optional).
  </li>
  <li>
   Databases: SQL, MS SQL Server, T-SQL, data modelling techniques.
  </li>
  <li>
   Azure Stack: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Cosmos DB.
  </li>
  <li>
   Practices &amp; Tools: Clean code, DevOps, Testing, CI/CD (Azure DevOps, Git).
  </li>
  <li>
   Operating Systems: Windows, Azure.
  </li>
  <li>
   Methods: Scrum, Agile.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PowerBI.
  </li>
  <li>
   Additional programming languages.
  </li>
  <li>
   Object-oriented programming.
   <br/>
   <br/>
  </li>
 </ul>
 Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 <br/>
 <br/>
 Make it real | www.capgemini.com
</div>


SDG Group Middle East

<div>
 <p>
  SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated
  <strong>
   Data Analytics Engineer
  </strong>
  with 3 to 6 years
  <strong>
   of experience
  </strong>
  in DataOps. The ideal candidate has strong hands-on experience with either
  <strong>
   Databricks or Snowflake
  </strong>
  , alongside solid understanding of modern cloud data platforms and best practices in data engineering.
 </p>
 <p>
  This role offers a
  <strong>
   full-time employment contract in USD
  </strong>
  , allowing remote work on
  <strong>
   international projects
  </strong>
  aligned with the
  <strong>
   European working week (Monday to Friday).
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <br/>
   <br/>
   Key Responsibiliti
  </strong>
 </p>
 <ul>
  <li>
   esDesign, build, and maintain scalable and reliable data pipelines following DataOps best practic
  </li>
  <li>
   esWork with modern cloud data stacks usin
   <strong>
    g Databric
   </strong>
   ks (Spark, Delta Lake) o
   <strong>
    r Snowfla
   </strong>
   ke (Snow pipe, tasks, stream
  </li>
  <li>
   s)Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration too
  </li>
  <li>
   lsWork with Azure data services (ADF, ADLS, Azure SQL, Azure Function
  </li>
  <li>
   s)Implement CI/CD practices using Azure DevOps or Git-based workflo
  </li>
  <li>
   wsEnsure data quality, consistency, and governance across all delivered data solutio
  </li>
  <li>
   nsMonitor and troubleshoot pipelines for performance and operational excellen
  </li>
  <li>
   ceCollaborate with international teams, architects, and analytics consultan
  </li>
  <li>
   tsContribute to technical documentation and solution design asse
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ts
   <br/>
   Required Skills &amp; Qualificati
  </strong>
 </p>
 <ul>
  <li>
   onsBachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related fi
  </li>
  <li>
   e
   <strong>
    ldHands-on experie
   </strong>
   nce in DataOps / Data Engineer
  </li>
  <li>
   ingStrong knowledge
   <strong>
    in Databricks OR Snowfl
   </strong>
   ake (one of them is mandato
  </li>
  <li>
   ry)Proficiency
   <strong>
    in Python and
   </strong>
  </li>
  <li>
   SQLExperience wi
   <strong>
    th Az
   </strong>
   ure data ecosystem (ADF, ADLS, Synapse, et
  </li>
  <li>
   c.)Understanding of CI/CD practices and DevOps for da
  </li>
  <li>
   ta.Knowledge of data modeling, orchestration frameworks, and monitoring to
  </li>
  <li>
   olsStrong analytical and troubleshooting ski
  </li>
  <li>
   llsEagerness to learn and grow in a global consulting environm
  </li>
 </ul>
 <p>
  <strong>
   entNice to H
  </strong>
 </p>
 <ul>
  <li>
   aveExperience with Delta Live Tables, Unity Catalog, or Lakehouse conce
  </li>
  <li>
   ptsKnowledge of BI tools (Power BI, Qli
  </li>
  <li>
   ck)Exposure to Agile / Scrum framewo
  </li>
  <li>
   rksRelevant certifications (Azure Data Engineer, Databricks, Snowfla
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ke)
   <br/>
   What We O
  </strong>
 </p>
 <ul>
  <li>
   fferRemote working model aligned with international project n
  </li>
  <li>
   eedsFull-time employment contract wit
   <strong>
    h a USD-based compensation pac
   </strong>
  </li>
  <li>
   kageOpportunity to work on European and global engagem
  </li>
  <li>
   entsMentorship and growth paths within SDG G
  </li>
  <li>
   roupA dynamic, innovative, and collaborative environ
  </li>
  <li>
   mentAccess to world-class training and learning platf
  </li>
 </ul>
 <p>
  <br/>
 </p>
 orms
</div>


Senior Data Analytics Engineer

Integrated Diagnostics Holdings - IDH

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <span>
   We are seeking a highly skilled BI Engineer to join our Data Management team. The ideal candidate will play a key role in designing, developing, and maintaining our data pipelines, integrations, and reporting solutions. You will work closely with SAP modules, SAP BDC Data Warehouse, and modern platforms like SAP Datasphere and Databricks to ensure reliable data flow and insightful analytics.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Design, build, and optimize ETL processes to integrate data from SAP modules into SAP BDC Data Warehouse, SAP Datasphere, and Databricks.
   </span>
  </li>
  <li>
   <span>
    Develop and maintain data models that support business intelligence and analytics needs.
   </span>
  </li>
  <li>
   <span>
    Create interactive dashboards and reports using Power BI and SAP Analytics Cloud (SAC).
   </span>
  </li>
  <li>
   <span>
    Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
   </span>
  </li>
  <li>
   <span>
    Ensure data quality, consistency, and governance across all reporting layers.
   </span>
  </li>
  <li>
   <span>
    Implement best practices for data integration, performance tuning, and automation.
   </span>
  </li>
  <li>
   <span>
    Support ad-hoc data analysis and provide actionable insights to stakeholders.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Strong experience with SAP modules and SAP BDC Data Warehouse.
   </span>
  </li>
  <li>
   <span>
    Hands-on expertise in SAP Datasphere and Databricks.
   </span>
  </li>
  <li>
   <span>
    Proficiency in Power BI and SAP Analytics Cloud (SAC) for visualization.
   </span>
  </li>
  <li>
   <span>
    Solid knowledge of SQL for querying and data manipulation.
   </span>
  </li>
  <li>
   <span>
    Experience with Python for data processing, automation, and advanced analytics.
   </span>
  </li>
  <li>
   <span>
    Proven track record in ETL development, data integration, and system interoperability.
   </span>
  </li>
  <li>
   <span>
    Strong analytical and problem-solving skills with attention to detail.
   </span>
  </li>
  <li>
   <span>
    Ability to work collaboratively in a fast-paced environment.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Experience with cloud-based data platforms (Azure, AWS, or GCP).
   </span>
  </li>
  <li>
   <span>
    Familiarity with data governance frameworks and security best practices.
   </span>
  </li>
  <li>
   <span>
    Knowledge of machine learning basics for advanced analytics is a plus
   </span>
  </li>
 </ul>
</div>


Data Analytics Engineer

Al-Futtaim

<div><p><b>Job Requisition ID: </b>176818</p>
<p>Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.</p><p></p><p><br>
<b>
Overview Of The Role:</b></p>
<p>
The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives.</p><br>
<p></p>
<p><b>
What You Will Do:</b></p>
<ul>
<li>Partner with product owners, scrum masters, and solution architects to deliver solutions.</li>
<li>Review and analyze business requirements to design technical solutions.</li>
<li>Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.</li>
<li>Adhere to software development and maintenance standards by understanding development best practices.</li>
<li>Implement robust data pipelines using the Microsoft toolset and Databricks.</li>
<li>Create reusable and scalable data pipelines.</li>
<li>Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.</li>
<li>Govern solutions and assess complex new data sources with various SAP and non-SAP systems.</li>
<li>Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.</li>
<li>Govern the technology implementation of solution designs.</li></ul><br>
<p><br>
<b>Required Skills To Be Successful:</b></p>
<ul>
<li>Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.</li>
<li>Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.</li>
<li>Strong analytic skills with experience handling unstructured datasets.</li>
<li>Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.</li></ul><br>
<p><br>
<b>What Equips You For The Role:</b></p>
<ul>
<li>8+ years of experience in Azure and Databricks.</li>
<li>Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.</li>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.</li>
<li>Certification on Azure platform toolsets is a beneficial addition.</li></ul><p></p><p><br>
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p><br>
<p></p>
<p>Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate <b>why</b> this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><br>
<p></p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p></div><p></p>

Data Engineer

Coca-Cola HBC

<div>
 <p>
  Department: Data Insights &amp; Artificial Intelligence
 </p>
 <p>
  Location: Cairo, Egypt
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  As an AI Developer, you will be responsible for developing and implementing AI-driven solutions in collaboration with business and technical stakeholders. Your focus will be on building innovative AI use cases and prototypes &ndash; including cutting-edge Generative AI solutions &ndash; that unlock new value streams for the company. You will be part of a team driving AI initiatives across our 29+ markets, playing a key role in experimenting with emerging technologies and scaling successful proofs-of-concept into production solutions. We follow a SAFe Agile model, so you&rsquo;ll work within a product-centric team to quickly iterate on ideas, using Azure DevOps to manage your work and ensure continuous integration of new AI capabilities.
 </p>
 <p>
  In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Dive into large and complex datasets to identify patterns and opportunities.
  </li>
  <li>
   Develop reliable ETL pipelines &amp; contribute to the architecture to support the application of generative AI models
  </li>
  <li>
   Apply statistical and machine learning techniques to solve business problems, alongside generative AI models.
  </li>
  <li>
   Spearhead the development of pilot solutions and support the lifecycle of the product.
  </li>
  <li>
   Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
  </li>
  <li>
   Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
  </li>
  <li>
   Work with Agile/SAFe delivery models and respective ways of working.
  </li>
  <li>
   Stay up to date with AI/ML advancements and share knowledge with the team.
  </li>
 </ul>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
  </li>
  <li>
   2 to 4 years of hands-on experience in data science or AI development
  </li>
  <li>
   Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
  </li>
  <li>
   Problem solving skills, strong analytical mindset and attention to detail
  </li>
  <li>
   Proficiency in Python, Pyspark and SQL.
  </li>
  <li>
   Strong understanding of machine learning and generative AI techniques.
  </li>
  <li>
   Experience with production-ready AI deployments
  </li>
  <li>
   Experience working with big-data-tools. Azure Databricks is a plus.
  </li>
  <li>
   Experience working with big data &amp; AI tools (MS Foundry, Fabric IQ, Copilot Studio, OpenAI, Power Automate). Azure Databricks is a strong plus.
  </li>
  <li>
   Experience in Consumer Product Goods domain is considered a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <br/>
   ABOUT YOUR NEW TEAM
  </strong>
 </p>
 <p>
  :We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve
 </p>
 <p>
  <strong>
   .AT COCA-COLA HBC, DIVERSITY HELPS US THRIV
  </strong>
 </p>
 <p>
  EIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 </p>
 <p>
  <br/>
 </p>
 .
</div>


AI Developer

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;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&nbsp;our team members.
  <br/>
 </p>
 <p>
  Job Summary:
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Data Engineer Senior Lead
  </strong>
  to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
  <br/>
  <br/>
  <br/>
  <strong>
   Key Responsibilities:
  </strong>
 </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-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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor'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

Explore 900+ Data engineer databricks pyspark in Egypt this April. Find roles across top companies and apply now to boost your career.

900 data engineer databricks pyspark jobs In Egypt

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