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data scientist / senior machine learning engineer Jobs in Cairo

data scientist / senior machine learning engineer

data analyst

data engineer

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

Servier Egypt

<div>
 Date posted: Oct 16, 2025
 
 
 City: Cairo
 
 
 Country/Region: EG
 
 
 Type of Contract: Full-time Employment / Unlimited
 
 
 Job Requisition ID: 10146
 
 
 Data engineer
 
 
 
 About The Role
 
 
 
 The IS Developer- Data Engineer will be responsible for analyzing user needs to conceive, develop or improve computer programs. They are accountable for software maintenance and development as needed alongside project documentation and testing.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Analyze software and data to identify and solve issues.
 </li>
 <li>
 Participate in meetings to determine software requirements.
 </li>
 <li>
 Conduct software demonstrations and training.
 </li>
 <li>
 Debug and fix software defects.
 </li>
 <li>
 Develop new or modify existing software.
 </li>
 <li>
 Update project documentation and report time.
 </li>
 <li>
 Provide project updates.
 </li>
 <li>
 Test software and participate in code reviews.
 
 
 </li>
 </ul>
 
 Experience &amp; Qualification
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or related field.
 </li>
 <li>
 1-2 years of software development experience.
 </li>
 <li>
 Proficiency in C#, HTML, CSS, JavaScript, and MS SQL.
 </li>
 <li>
 Technical documentation skills.
 </li>
 <li>
 Strong problem-solving abilities.
 </li>
 <li>
 Knowledge of software development life cycle.
 </li>
 <li>
 Excellent communication skills.
 </li>
 <li>
 Ability to work independently and in teams.
 </li>
 <li>
 Proficiency in English.
 </li>
 <li>
 Attention to detail and adaptability.
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 Candidate Profile
 
 
 Whatever your area of expertise, your work within the Servier Group helps advance therapeutic progress for the benefit of patients. You will be part of teams recognised for their scientific excellence and reach your full potential in a professional environment that encourages you to develop yourself. Tailor-made onboarding journeys, mobility opportunities, quality trainings, responsible management, team spirit... All this and more in a workplace focused on your well-being.
 
 
 At Servier, we are committed to therapeutic progress to serve patient needs. We put the diversity of our employees as a source of richness for the fulfillment of this vocation.
</div>

Data engineer

DXC Technology

<div>
 
 
 Job Title: Informatica IDMC Platform Administrator
 
 
 
 
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking an experienced
 
 Data Engineer with Informatica IDMC Platform Administration expertise
 
 to join our data platform team.
 
 
 This role combines strong
 
 hands-on data engineering
 
 skills with the ability to
 
 administer, configure, and optimize
 
 the
 
 Informatica Intelligent Data Management Cloud (IDMC / IICS)
 
 environment.
 
 
 You will design and maintain robust, scalable data pipelines while ensuring the
 
 stability, security, and performance
 
 of our Informatica Cloud platform. The role involves close collaboration with data architects, business analysts, and infrastructure teams to deliver high-quality data solutions supporting analytics, integration, and governance initiatives.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Engineering:
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 data integration pipelines
 
 using Informatica IDMC (IICS) and other ETL tools.
 </li>
 <li>
 Develop data ingestion and transformation processes from
 
 varied data sources
 
 (on-premises and cloud: Azure, AWS, SQL Server, Snowflake, etc.).
 </li>
 <li>
 Optimize and monitor data flows for
 
 performance, scalability, and reliability
 
 .
 </li>
 <li>
 Implement
 
 data quality, cleansing, and validation
 
 routines.
 </li>
 <li>
 Collaborate with data scientists, analysts, and BI developers to enable efficient data consumption.
 </li>
 <li>
 Document ETL logic, data mappings, and transformation rules.
 </li>
 </ul>
 
 
 Platform Administration:
 
 
 <ul>
 <li>
 Administer and manage the
 
 Informatica IDMC platform
 
 , including
 
 Secure Agents, runtime environments, and user access
 
 .
 </li>
 <li>
 Manage
 
 system upgrades, patching, and configuration
 
 .
 </li>
 <li>
 Oversee
 
 environment management
 
 (Dev, Test, Prod),
 
 asset migration
 
 , and
 
 deployment processes
 
 .
 </li>
 <li>
 Ensure
 
 platform connectivity
 
 with various cloud and on-prem systems through secure channels (VPN, proxies, etc.).
 </li>
 <li>
 Monitor performance and troubleshoot runtime or connectivity issues.
 </li>
 <li>
 Implement
 
 governance standards, backup, and recovery procedures
 
 .
 </li>
 <li>
 Collaborate with Informatica Support for platform-related issues or incidents.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience as a Data Engineer or ETL Developer.
 </li>
 <li>
 
 2+ years
 
 of experience administering
 
 Informatica IDMC (IICS)
 
 or similar Informatica Cloud platforms.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and data modeling concepts.
 </li>
 <li>
 Hands-on experience with
 
 data integration, transformation, and migration
 
 .
 </li>
 <li>
 Experience connecting Informatica to
 
 cloud platforms
 
 (Azure, AWS, or GCP).
 </li>
 <li>
 Familiarity with
 
 Secure Agent setup
 
 ,
 
 user and role management
 
 , and
 
 API integration
 
 .
 </li>
 <li>
 Working knowledge of
 
 Git / CI-CD pipelines
 
 for data deployment automation.
 </li>
 <li>
 Strong understanding of
 
 data security and governance principles
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Information Systems, or related field
 
 .
 </li>
 <li>
 
 Informatica Certified Professional
 
 (IICS / IDMC Administrator or Data Integration Specialist).
 </li>
 <li>
 
 Microsoft Azure Data Engineer Associate
 
 or equivalent certification.
 </li>
 <li>
 Familiarity with
 
 Snowflake, Databricks, or Synapse Analytics
 
 .
 </li>
 <li>
 Experience with
 
 Python, PowerShell, or REST APIs
 
 for automation and orchestration.
 </li>
 <li>
 Exposure to
 
 Data Quality (IDQ), Data Governance, or MDM
 
 modules.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and documentation abilities.
 </li>
 <li>
 Proactive, self-motivated, and comfortable working independently or in global teams.
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced, agile environment.
 </li>
 <li>
 Collaboration mindset &mdash; works well with business, IT, and operations stakeholders.
 </li>
 </ul>
 
 
</div>

Coca-Cola HBC

<div>
 
 We are looking for a highly skilled Data Engineer with significant technical skills in Azure and business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics Products Engineering team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 <ul>
 <li>
 Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers;
 </li>
 <li>
 Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;
 </li>
 <li>
 Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;
 </li>
 <li>
 Design, develop, implement and optimize data pipelines for scalability, performance, security and cost efficiency. Optimize data storage, retrieval, and processing techniques to achieve high performance and cost efficiency;
 </li>
 <li>
 Implement security and access control measures to protect sensitive data within Azure environments;
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify and address data quality issues.
 </li>
 <li>
 Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;
 </li>
 <li>
 Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;
 </li>
 <li>
 Lead and guide Azure developers and data engineers from vendors, providing guidance and support in Azure data engineering techniques and methodologies and ensuring development as per CCH standards and guidelines;
 </li>
 <li>
 Ability to understand business requirements and convert into clearly documented technical requirements (dimensions, KBIs, data structure, data granularity, target users), following the agreed guidelines, standards and rules;
 </li>
 <li>
 Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;
 </li>
 <li>
 Collaborate with and support PowerBI developers to test different approaches for data connections and data transfers to Power BI, to identify the optimal approach per use case considering data volume, Power BI performance, as well as data quality and security considerations.
 </li>
 </ul>
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 <ul>
 <li>
 Deep hands-on experience with MS Azure Data Factory, MS Azure Data Lake Storage, SQL Database (T-SQL), Azure Databricks, Proficiency in SQL and data manipulation languages for data extraction, transformation, and loading.
 </li>
 <li>
 3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms
 </li>
 <li>
 Deep hands-on experience in Python; pyspark
 </li>
 <li>
 Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;
 </li>
 <li>
 Experience with Data Science techniques, such as feature engineering and modeling is appreciated;
 </li>
 <li>
 Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;
 </li>
 <li>
 Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs). Familiarity with big data technologies such as Hadoop, Spark, and Hive;
 </li>
 <li>
 Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;
 </li>
 <li>
 Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;
 </li>
 <li>
 Design and implement data pipelines and ETL processes, ensuring data quality and availability for machine learning models, while possessing a foundational understanding of machine learning concepts and techniques.
 </li>
 <li>
 Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);
 </li>
 <li>
 Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.
 </li>
 <li>
 Understanding of Agile methodology and SAFe Agile is appreciated;
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;
 </li>
 <li>
 Azure certification, such as Azure Data Engineer Associate, is a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC - one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our every day 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.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 
 
 
 Including 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
 
</div>

SSC HR Solutions

<div>
 About Company :
 
 
 global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 Job Description:
 
 
 As a Data Streaming Engineer, you will be building and maintaining robust, scalable Kubernetes-based event streaming platforms. You will play a pivotal role in ensuring the reliability and efficiency of our production and development environments, enabling smooth deployments and accurate event reporting.
 
 
 Key Responsibilities:
 
 
 Kubernetes Infrastructure Management:
 
 
 <ul>
 <li>
 Design, provision, and maintain Kubernetes clusters across various environments (cloud, on-premises, hybrid)
 </li>
 <li>
 Monitor cluster performance and optimize resource utilization
 </li>
 <li>
 Troubleshoot issues and implement solutions to ensure high availability and stability
 
 
 </li>
 </ul>
 Splunk Operations &amp; Engineering:
 
 
 <ul>
 <li>
 Manage Splunk infrastructure including indexers, search heads
 </li>
 <li>
 Troubleshoot ingestion issues, latency, and indexing delays across distributed environments
 </li>
 <li>
 Develop and maintain SPL queries, saved searches, alerts, and dashboards
 </li>
 <li>
 Perform capacity planning, performance tuning, and upgrade planning for Splunk components
 </li>
 <li>
 Implement data onboarding strategies and field extractions for new log sources
 
 
 </li>
 </ul>
 Cribl Pipeline Management:
 
 
 <ul>
 <li>
 you Cribl experience is advantageous but not required
 </li>
 <li>
 Design, build, and optimize Cribl pipelines for log routing, transformation, filtering, and enrichment
 </li>
 <li>
 Integrate Cribl with various data sources and destinations
 </li>
 <li>
 Automate pipeline deployments and configuration using CI/CD and GitOps practices
 
 
 </li>
 </ul>
 Production Support:
 
 
 <ul>
 <li>
 Participate in incident response and resolution, ensuring minimal downtime and disruption to services
 </li>
 <li>
 Continuously analyze and improve the performance, reliability, and security of production environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field
 </li>
 <li>
 Minimum of 5 years of professional experience
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal
 </li>
 <li>
 Strong Kubernetes Expertise: Deep understanding of Kubernetes architecture, concepts, and best practices. Hands-on experience with deploying and managing Kubernetes clusters at scale
 </li>
 <li>
 Splunk or ELK Familiarity: Experience working with log data platforms such as Splunk and ELK, including organizing, interpreting, and preparing data for analysis. Familiarity with tools and processes used to manage and streamline data flows across systems
 </li>
 <li>
 GitLab Familiarity: Understanding of GitLab CI/CD features and capabilities. Ability to write efficient and maintainable pipeline scripts
 </li>
 <li>
 Cloud Infrastructure Knowledge: Experience with cloud platforms (AWS, Azure, GCP) and cloud-native technologies
 </li>
 <li>
 Troubleshooting and Problem-Solving: Ability to analyze complex problems, diagnose root causes, and implement effective solutions
 </li>
 <li>
 Collaboration and Communication: Strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
 
 
 </li>
 </ul>
 The following details apply to the positions:
 
 
 
 Work Model:
 
 
 
 <ul>
 <li>
 All positions will follow a hybrid work model: 3 days from the office (CFC) and 2 days from home
 </li>
 <li>
 Work schedule is Monday to Friday
 
 
 </li>
 </ul>
 you must be willing to travel twice a year for short-term periods
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field
 </li>
 <li>
 Minimum of 5 years of professional experience
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal
 </li>
 <li>
 Strong Kubernetes Expertise: Deep understanding of Kubernetes architecture, concepts, and best practices. Hands-on experience with deploying and managing Kubernetes clusters at scale
 </li>
 <li>
 Splunk or ELK Familiarity: Experience working with log data platforms such as Splunk and ELK, including organizing, interpreting, and preparing data for analysis. Familiarity with tools and processes used to manage and streamline data flows across systems
 </li>
 <li>
 GitLab Familiarity: Understanding of GitLab CI/CD features and capabilities. Ability to write efficient and maintainable pipeline scripts
 </li>
 <li>
 Cloud Infrastructure Knowledge: Experience with cloud platforms (AWS, Azure, GCP) and cloud-native technologies
 </li>
 <li>
 Troubleshooting and Problem-Solving: Ability to analyze complex problems, diagnose root causes, and implement effective solutions
 </li>
 <li>
 Collaboration and Communication: Strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
 
 
 </li>
 </ul>
 The following details apply to the positions:
 
 
 
 Work Model:
 
 
 
 <ul>
 <li>
 hybrid work model: 3 days from the office (CFC) and 2 days from home
 </li>
 <li>
 Work schedule is Monday to Friday
 
 
 </li>
 </ul>
 you must be willing to travel twice a year for short-term periods
 
 
 
 Other Key Points:
 
 
 
 <ul>
 <li>
 Fluency in English: 90% of all roles involve global interviews, so it is essential that you can communicate fluently in English and have a clear, understandable accent
 </li>
 <li>
 The company does not want Foreigners they need Egyptians
 </li>
 </ul>
</div>

Data Streaming Engineer

<div>
 
 
 Note: Only Egyptian citizens will be considered for this role.
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking an experienced
 
 Data Engineer with Informatica IDMC Platform Administration expertise
 
 to join our data platform team.
 
 
 This role combines strong
 
 hands-on data engineering
 
 skills with the ability to
 
 administer, configure, and optimize
 
 the
 
 Informatica Intelligent Data Management Cloud (IDMC / IICS)
 
 environment.
 
 
 You will design and maintain robust, scalable data pipelines while ensuring the
 
 stability, security, and performance
 
 of our Informatica Cloud platform. The role involves close collaboration with data architects, business analysts, and infrastructure teams to deliver high-quality data solutions supporting analytics, integration, and governance initiatives.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Engineering:
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 data integration pipelines
 
 using Informatica IDMC (IICS) and other ETL tools.
 </li>
 <li>
 Develop data ingestion and transformation processes from
 
 varied data sources
 
 (on-premises and cloud: Azure, AWS, SQL Server, Snowflake, etc.).
 </li>
 <li>
 Optimize and monitor data flows for
 
 performance, scalability, and reliability
 
 .
 </li>
 <li>
 Implement
 
 data quality, cleansing, and validation
 
 routines.
 </li>
 <li>
 Collaborate with data scientists, analysts, and BI developers to enable efficient data consumption.
 </li>
 <li>
 Document ETL logic, data mappings, and transformation rules.
 </li>
 </ul>
 
 
 Platform Administration:
 
 
 <ul>
 <li>
 Administer and manage the
 
 Informatica IDMC platform
 
 , including
 
 Secure Agents, runtime environments, and user access
 
 .
 </li>
 <li>
 Manage
 
 system upgrades, patching, and configuration
 
 .
 </li>
 <li>
 Oversee
 
 environment management
 
 (Dev, Test, Prod),
 
 asset migration
 
 , and
 
 deployment processes
 
 .
 </li>
 <li>
 Ensure
 
 platform connectivity
 
 with various cloud and on-prem systems through secure channels (VPN, proxies, etc.).
 </li>
 <li>
 Monitor performance and troubleshoot runtime or connectivity issues.
 </li>
 <li>
 Implement
 
 governance standards, backup, and recovery procedures
 
 .
 </li>
 <li>
 Collaborate with Informatica Support for platform-related issues or incidents.
 </li>
 </ul>
 
 
 
 
 Required Skills and Experience:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience as a Data Engineer or ETL Developer.
 </li>
 <li>
 
 2+ years
 
 of experience administering
 
 Informatica IDMC (IICS)
 
 or similar Informatica Cloud platforms.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and data modeling concepts.
 </li>
 <li>
 Hands-on experience with
 
 data integration, transformation, and migration
 
 .
 </li>
 <li>
 Experience connecting Informatica to
 
 cloud platforms
 
 (Azure, AWS, or GCP).
 </li>
 <li>
 Familiarity with
 
 Secure Agent setup
 
 ,
 
 user and role management
 
 , and
 
 API integration
 
 .
 </li>
 <li>
 Working knowledge of
 
 Git / CI-CD pipelines
 
 for data deployment automation.
 </li>
 <li>
 Strong understanding of
 
 data security and governance principles
 
 .
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Information Systems, or related field
 
 .
 </li>
 <li>
 
 Informatica Certified Professional
 
 (IICS / IDMC Administrator or Data Integration Specialist).
 </li>
 <li>
 
 Microsoft Azure Data Engineer Associate
 
 or equivalent certification.
 </li>
 <li>
 Familiarity with
 
 Snowflake, Databricks, or Synapse Analytics
 
 .
 </li>
 <li>
 Experience with
 
 Python, PowerShell, or REST APIs
 
 for automation and orchestration.
 </li>
 <li>
 Exposure to
 
 Data Quality (IDQ), Data Governance, or MDM
 
 modules.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and documentation abilities.
 </li>
 <li>
 Proactive, self-motivated, and comfortable working independently or in global teams.
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced, agile environment.
 </li>
 <li>
 Collaboration mindset &mdash; works well with business, IT, and operations stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Note: Only Egyptian citizens will be considered for this role.
 
 
 
 
</div>

Informatica IDMC Platform Administrator

Explore 689+ Data engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

689 data engineer jobs IN Cairo

Data Engineer

Data engineer

Data Engineer

Data Engineer

Data Engineer

Data Streaming Engineer

Informatica IDMC Platform Administrator