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data engineer - data integration intern Jobs in Giza

data engineer - data integration intern

data engineer data platforms databricks Jobs in Giza

data engineer data platforms databricks

data engineer-data platforms-databricks Jobs in Giza

data engineer-data platforms-databricks

qs engineer

data engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 &minus; Build and maintain the data architecture
 
 
 &minus; Track and report key performance indicators (KPIs) and business targets in an accessible, business-centric language.
 
 
 &minus; Develop and maintain business reports for all solutions, aligning them with business objectives and ensuring ease of understanding and consumption by business users.
 
 
 &minus; Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis.
 
 
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 &minus; Minimum of 10 years of experience in data engineering within a corporate environment;
 
 
 &minus; Prior experience with databases (NoSQL or Relational databases).
 
 
 <ul>
 <li>
 Data Engineering (Python, SQL)
 </li>
 <li>
 Any cloud platform (AWS, Azure, GCP)
 </li>
 <li>
 Modern Data Platforms (Snowflake, Databricks, DBT)
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data concepts to non-technical stakeholders.
 </li>
 <li>
 Possess an analytical, proactive, and collaborative mindset.
 
 
 </li>
 </ul>
 
 Keywords
 
 
 
 
 Preferred technical and professional experience
 
 
 
 Data Engineering, ETL, Data Pipelines , Data Warehouse, Data Lakes, Cloud Data Platforms, SQL, Python, Spark, Hadoop, Snowflake, DataBricks, DBT, Azure Data Factory, Synapse Analytics, Databricks, ADLS, Power BI, Azure SQL, Azure Functions, PySpark, ETL, Pipelines, Cloud Data Engineering, AWS Glue, Big Queries, AWS Glue, Amazon S3, Amazon Redshift.
</div>

Senior Data Engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
 </li>
 <li>
 Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
 </li>
 <li>
 Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
 </li>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
 </li>
 <li>
 Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
 </li>
 <li>
 Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
 </li>
 </ul>
</div>

Data Engineer Data Platforms Databricks

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
 </li>
 <li>
 Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
 </li>
 <li>
 Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
 </li>
 <li>
 Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 </ul>
</div>

Data Engineer-Data Platforms-Databricks

Appgain

We are looking for a focused and highly skilled Part-Time Data Engineer to join our team. You will be responsible for designing, building, and maintaining our data pipelines and infrastructure. Since this is a part-time role we are looking for a professional who can work independently, prioritize high-impact tasks, and ensure our data is clean, accessible, and reliable for our software products and business analytics. Key Responsibilities1. Data Architecture &amp; ETL<ul><li>Design and implement robust ETL/ELT pipelines to move data from various sources (APIs, Databases, Logs) into our data warehouse.</li><li>Optimize data flow and collection for cross-functional teams (Product, Engineering, Sales).</li><li>Ensure data integrity and high availability for our software applications.</li></ul>2. Infrastructure &amp; Maintenance <ul><li>Monitor and tune database performance and query efficiency.</li><li>Implement data security and privacy best practices (GDPR/Compliance).</li><li>Maintain and scale our data stack (e.g., PostgreSQL, BigQuery, Snowflake, or similar).</li></ul>3. Tooling &amp; Collaboration <ul><li>Build internal tools for data monitoring and automated reporting.</li><li>Work closely with the Project Coordinator and Developers to ensure data requirements are met for new feature launches.</li></ul>Required Technical Stack<ul><li>Languages: Mastery of SQL and Python (or Scala/Java).</li><li>Data Tools: Experience with orchestration tools like Airflow, Prefect, or dbt.</li><li>Cloud: Proficiency in AWS, Azure, or GCP (Google Cloud Platform).</li><li>Big Data: Familiarity with Spark, Kafka, or NoSQL databases is a plus.</li></ul>Required Experience <ul><li>Experience: 3&ndash;5 years of professional experience in Data Engineering.</li><li>Autonomy: Proven ability to manage your own time and deliver projects within a part-time schedule.</li><li>Communication: Crystal-clear English communication (essential for asynchronous work and documentation).</li></ul>Application Question(s):<ul><li>This role requires coming to the office for meetings when needed</li></ul>Do you mind that ?Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Engineer: 4 years (Preferred)</li></ul>Work Location: Hybrid remote in Giza

SR .Data Engineer (Part-Time)

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer - Data Integration Intern, you will support the design, development, and maintenance of data pipelines that integrate data from multiple sources into centralized data platforms. You will work closely with data engineers, analysts, and business teams to ensure data is reliable, accessible, and ready for analysis
 
 
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Basic understanding of data engineering concepts (ETL/ELT, data pipelines, data integration).
 </li>
 <li>
 Knowledge of SQL and relational databases.
 </li>
 <li>
 Familiarity with at least one programming language such as Python or Java.
 </li>
 <li>
 Understanding of data formats (CSV, JSON, Parquet is a plus).
 </li>
 <li>
 Basic knowledge of version control systems (e.g., Git).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Willingness to learn and ability to work in a team environment.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Data Integration Tools Knowledge: Familiarity with additional data integration tools beyond Informatica, Ab Initio software, and DataStage is beneficial.
 </li>
 <li>
 Business Intelligence Solution Exposure: Exposure to various business intelligence solutions and their applications can be advantageous.
 </li>
 </ul>
</div>

Data Engineer - Data Integration Intern

اورنچ مصر

<div>About the job Sr. Software Development Engineering
<div>Purpose of the job

As a data platform development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic , high performance computing and storage platform that underpins the diverse workloads running on data lake infrastructure.

You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.

You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and sweardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.

Duties and responsibilities

<ul><li>Contribute in developing plans for the team according to the department strategic vision.</li>
<li>Provide strong technical leadership to the team with a focus on quality, performance, and security.</li>
<li>Foster a culture of creativity and innovation while also promoting practical decision making.</li>
<li>Help growing the team by participating in the recruiting process.</li>
<li>Collaborate with data scientists, data analysts, modelers and IT team members on project goals.</li>
<li>Optimize the performance and support monitoring of data platform systems and computing infrastructure.</li>
<li>Define and deliver on service availability and quality SLAs.</li>
</ul>Education

<ul><li>Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul>

Experience

<ul><li>5 to 7 years of hands-on software engineering experience</li><li>
Solid engineering fundamentals with extensive and strong software development experience.</li><li>
Experience coaching and mentoring junior software engineers.</li><li>
Experience and understanding of SDLC and Agile/Scrum procedures.</li><li>
Experience working in a big data environment and using big data tools is preferred.</li><li>
Experience with infrastructure as a code, automation and DevOps practices is preferred.</li><li>
Past experience in telecom operators and service providers is preferred.</li></ul>

Skills and abilities

<ul><li>Very good English both written &amp; spoken.</li><li>
Excellent collaboration and communication skills and comfortable working across multiple teams.</li><li>
Strong hands-on skill, can drill deep into complex systems design and implementation.
</li><li>Strong problem solving and troubleshooting skills.</li><li>
Excellent knowledge of database systems.</li><li>
Excellent programming and debugging skills.</li><li>
Good systems administration skills.</li></ul></div></div>

Sr. Software Development Engineering

2P Perfect Presentation

<div>
 
 
 Job Description &ndash; Mid-Level Software Quality Control Engineer
 
 
 
 Job Title: Mid-Level Software Quality Control Engineer
 
 
 Department: Quality Control / Quality Assurance
 
 
 Location: [City / Country or Remote]
 
 
 Reports To: QC Team Lead / QA Manager
 
 
 
 
 Role Summary
 
 
 The Mid-Level Software QC Engineer is responsible for designing, executing, and documenting test scenarios to ensure high-quality delivery of software products. The role focuses on validating functional and non-functional requirements, identifying defects, and collaborating closely with development, product, and business teams to deliver stable, reliable releases.
 
 
 
 
 Key Responsibilities
 
 
 
 
 Test Design &amp; Execution
 
 
 - Analyze business requirements, user stories, and acceptance criteria to design detailed test cases and test data.
 
 
 - Execute functional, regression, integration, and smoke tests for web, mobile, and backend systems.
 
 
 - Log, track, and retest defects using the agreed defect management tool (e.g., Jira, Azure DevOps, etc.).
 
 
 - Validate fixes and ensure no regression is introduced.
 
 
 
 
 Documentation &amp; Reporting
 
 
 - Prepare and maintain test cases, test suites, and traceability matrices.
 
 
 - Contribute to test plans and test reports for each release or sprint.
 
 
 - Provide clear testing status, risks, and blockers to the QC Lead / Scrum Master.
 
 
 
 
 Collaboration
 
 
 - Work closely with developers, BAs, and Product Owners to clarify requirements and expected behaviors.
 
 
 - Participate in refinement, planning, and review meetings as the QC representative.
 
 
 - Support UAT preparation and execution when needed.
 
 
 
 
 Quality Practices
 
 
 - Follow and enforce the company&rsquo;s QC process, standards, and best practices.
 
 
 - Contribute to improving test coverage and test data quality.
 
 
 - Support basic test automation activities (e.g., maintaining existing scripts, adding simple test cases) if applicable.
 
 
 
 
 Requirements
 
 
 
 
 Must Have
 
 
 - Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
 
 
 - 2&ndash;4 years of hands-on experience in software testing / quality control.
 
 
 - Strong understanding of SDLC and STLC (Agile / Scrum is a plus).
 
 
 - Solid experience in:
 
 
 - Writing clear and structured test cases and scenarios.
 
 
 - Functional and regression testing.
 
 
 - API testing using tools such as Postman / Swagger.
 
 
 - Familiarity with defect tracking tools (e.g., Jira, Trello, Azure DevOps, etc.).
 
 
 - Good understanding of databases and ability to write basic SQL queries for validation.
 
 
 - Strong analytical skills, attention to detail, and structured thinking.
 
 
 - Good communication skills and the ability to work in cross-functional teams.
 
 
 
 
 Nice to Have
 
 
 - Experience in Fintech / Payments / E-commerce domains.
 
 
 - Basic exposure to test automation tools (e.g., Selenium, Cypress, K6, REST Assured, etc.).
 
 
 - Knowledge of performance testing concepts and tools.
 
 
 - ISTQB Foundation Level or similar certification.
 
 
 
 
 Key Competencies
 
 
 - Ownership and accountability for assigned modules / features.
 
 
 - Time management and ability to work under deadlines.
 
 
 - Problem-solving mindset and curiosity to understand root causes.
 
 
 - Teamwork and willingness to learn from seniors and leads.
 
</div>

Mid-Level QC Tester Engineer

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