7 Etl Developer jobs in Egypt

ETL Developer (Data Management)

For banking sector in Cairo, Egypt

Skills & Qualifications

Bachelor's degree in computer science or equivalent, with special training in RDBMS Use of Structured Query Language (SQL)Ability in Data profiling , preparation, and cleansing Ability in Data modeling Use of ETL tool (ODI or Informatica)

Experience in creating databases, extracting, and preparing data Use of Visualization tool(OBIEE)

+5 years experience

Job Title: Data Warehouse & Business Intelligence (BI) Consultant

Location: Egypt

Department: IT / Data & Analytics

Job Summary:

We are looking for a highly skilled Data Warehouse & BI Consultant to design, implement, and manage data solutions that support business decision-making. The ideal candidate will have solid experience in data modeling, ETL processes, and BI reporting tools, ensuring data accuracy, accessibility, and performance.

*Key Responsibilities:

• Design, develop, and maintain Data Warehouse solutions.

• Build and optimize ETL workflows for data integration.

• Develop dashboards, reports, and analytics using BI tools (e.g., Power BI, Tableau, Qlik).

• Collaborate with stakeholders to translate business needs into technical solutions.

• Ensure data governance, quality, and security across systems.

• Provide support, documentation, and training for BI solutions.

• Analyze large datasets and deliver actionable business insights.

Qualifications & Skills:

• Bachelor's degree in Computer Science, IT, or related field.

• 5+ years of experience in Data Warehousing and BI.

• Proficiency in SQL, ETL tools, and data modeling techniques.

• Hands-on experience with BI platforms (Power BI, Tableau, Qlik, or similar).

• Knowledge of cloud data platforms (Azure, AWS, GCP) is a plus.

• Strong analytical, problem-solving, and communication skills.

• Ability to manage multiple projects and work under pressure.

Location:
Remotely

Experience Level:
2–3 years

Are you passionate about
system integration
and looking to grow your career in the Oracle ecosystem?

We are looking for a
Junior Data Integration Engineer
to join our dynamic team and support in building, maintaining, and monitoring data integrations using
Oracle Integration Cloud (OIC)
and
Oracle E-Business Suite
.

Job Responsibilities:

• Assist in integrating Oracle E-Business Suite with external parties using Oracle Integration Cloud and service-oriented architecture.
• Support senior team members and application supervisors in handling reports and forms.
• Prepare and maintain integration documentation.
• Monitor integrations and troubleshoot issues under supervision.
• Develop simple customized reports/forms as directed by the manager.
• Collaborate with the DBA to ensure optimal performance for report execution.
• Participate in activities related to master data loading and validation.
• Support users with technical integration and security-related issues.
• Generate periodic integration/application performance reports for management.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 2–3 years of experience in system integration or a related IT field.
• Knowledge of Oracle E-Business Suite.
• Exposure to Oracle Integration Cloud (OIC) or Oracle SOA Suite.
• Basic understanding of data management and troubleshooting.
• Familiarity with Oracle EBS reports/forms development.
• Strong task planning and problem-solving skills.
• Proficiency in MS Office (Word, Excel, PowerPoint).
• Good communication skills in English.

Preferred Skills (Nice to Have):

• Hands-on Oracle SOA or Middleware experience.
• Knowledge of SQL & Oracle Database.
• Exposure to cloud-based integration projects.

If you're eager to advance your skills in Oracle integration and work with cutting-edge cloud technologies, we'd love to hear from you

We are seeking a highly skilled and motivated Data Integration Specialist to design, develop, and support scalable ETL solutions across enterprise data platforms. The ideal candidate will have strong expertise in ETL tools, SQL, and shell scripting, with hands-on experience integrating large volumes of data from multiple source systems into enterprise data warehouses. Knowledge of Hadoop, MPP systems, and Unix/Linux environments is a strong advantage.

• Capture and analyze ETL requirements from business and technical stakeholders, and translate them into robust data integration designs.
• Design, develop, and maintain ETL workflows and data pipelines for loading data from diverse source systems into Data Warehouses and Data Marts.
• Ensure data quality, accuracy, and timeliness, while adhering to defined SLAs and performance benchmarks.
• Optimize existing data integration processes for performance, scalability, and resource efficiency.
• Troubleshoot and resolve ETL and data load issues in coordination with other data and infrastructure teams.
• Provide mentorship and guidance to junior developers and contribute to knowledge-sharing across the team.
• Create and maintain comprehensive technical documentation for data integration processes, design decisions, and operational procedures.

• Strong working knowledge of enterprise relational databases such as Teradata, Oracle, or IBM DB2.
• Proficiency in two or more ETL tools (e.g., Informatica, IBM DataStage, Oracle Data Integrator (ODI), SAS DI Studio).
• Advanced SQL skills and shell scripting experience for automation and custom logic implementation.
• Solid experience in delivering ETL solutions for large enterprise environments, handling complex transformations and high-volume data.
• Exposure to Hadoop ecosystems and Massively Parallel Processing (MPP) platforms such as Teradata is a plus.
• Hands-on experience with Unix/Linux OS, including scripting and command-line operations.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data integration, ETL development, or data engineering roles.
• Experience working in Agile/Scrum environments with CI/CD practices.
• Strong problem-solving skills, attention to detail, and a collaborative approach to cross-functional projects.
• Familiarity with data governance, metadata management, and data lineage tools is an advantage.

Why Join Us?

Be a key contributor to our enterprise data landscape by designing robust and scalable integration solutions. If you're passionate about solving complex data problems and enabling business intelligence through quality data pipelines, we'd love to connect with you.

We are seeking a
Senior Data Integration Engineer
with extensive experience in
SQL Server
database management,
dynamic scripting
, and
T-SQL development
. The ideal candidate will be skilled in
ETL design and implementation
using
SSIS
, as well as creating
reports and dashboards
in
SSRS
. This role involves working closely with cross-functional teams to ensure the efficient integration, transformation, and delivery of data across various systems.

Key Responsibilities:

Database Management

• Administer, monitor, and maintain
  SQL Server
  environments, ensuring performance, security, and high availability.
• Optimize database performance through indexing, query tuning, and resource management.

Data Integration & ETL Development

• Design, develop, and maintain ETL processes using
  SQL Server
  Integration Services (SSIS).
• Build
  dynamic and reusable scripts
  for data transformation, validation, and automation.
• Integrate data from multiple sources, ensuring quality, consistency, and accuracy.

T-SQL Development

• Write and optimize
  complex T-SQL queries
  , stored procedures, and functions.
• Develop
  dynamic SQL scripts
  for flexible and parameterized data processing.

Reporting & Analytics

• Design and implement interactive reports and dashboards using
  SQL Server Reporting Services (SSRS)
  .
• Collaborate with stakeholders to understand reporting requirements and deliver actionable insights.

Collaboration & Documentation

• Work closely with data analysts, application developers, and business teams to support integration projects.
• Create and maintain technical documentation for database designs, ETL workflows, and reporting solutions.

Qualifications Required:

• Bachelor's degree in
  Computer Science
  ,
  Information Systems
  , or related field (or equivalent experience).
• 5+ years
  of hands-on experience with
  SQL Server
  administration and development.
• Strong expertise in
  T-SQL
  and
  dynamic SQL scripting
  .
• Proven experience in
  SSIS
  package design, deployment, and troubleshooting.
• Experience building and optimizing reports using
  SSRS
  .
• Solid understanding of
  ETL best practices
  , data cleansing, and transformation logic.
• Experience with
  query performance tuning
  and database optimization techniques.
• Knowledge of
  data warehousing concepts
  and data modeling.

Preferred:

• Experience with
  version control systems
  (e.g., Bitbucket, SVN).
• Strong problem-solving skills and ability to work in a fast-paced environment.

Introduction
As a Data Engineer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world's technology leader. Come to IBM and make a global impact

Your Role And Responsibilities
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.

Required Technical And Professional Expertise
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.