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A global provider of technology products, services, and solutions.
The Role
Design, build, and maintain scalable ETL/ELT pipelines and data models for operational systems and enterprise data warehouses. Optimize performance, implement data quality and governance, support production workflows, and collaborate with analysts, scientists, DBAs, and product teams to deliver reliable datasets for analytics and reporting.
Summary Generated by Built In
Position:Senior Data EngineerJob Description:
Must-Have Requirements
• 5+ years of experience as a Data Engineer or similar role.
• Strong Python Skills and Experience
• Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
• Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
• Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
• Proficiency with cloud platforms (AWS).
• Experience with workflow orchestration (Airflow, Prefect, or similar).
• Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
• Proven ability to design robust data models and optimize database structures.
• Knowledge of data governance, cataloging, and metadata management.
Location:EG-Cairo, Egypt (Al Emdad & Al Tamween)Time Type:Full timeJob Category:Information Technology
Seeking an experienced Senior Data Engineer to design, development, and optimization of
our data pipelines, data models, and analytics infrastructure. The ideal candidate has
strong experience in building scalable data platforms across operational systems and
enterprise data warehouses.
Key Responsibilities
Core Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Develop high-quality data integration workflows using modern data engineering tools and frameworks.
• Optimize data processing performance, storage usage, and pipeline reliability.
• Implement data quality checks, validation rules, and monitoring dashboards.
• Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
• Manage data security, access controls, and governance best practices.
• Support production workflows, troubleshoot issues, and improve platform stability.
Additional Responsibilities for Data Models & Structures (Operational + DW)
• Own the design and maintenance of logical and physical data models for
operational systems and enterprise data warehouse (OLTP + DWH).
• Define and enforce data modeling standards, naming conventions, and schema governance.
• Translate business processes into efficient database schemas, including star/snowflake models.
• Optimize queries and database structures for high-performance analytics and real-time data access.
• Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
our data pipelines, data models, and analytics infrastructure. The ideal candidate has
strong experience in building scalable data platforms across operational systems and
enterprise data warehouses.
Key Responsibilities
Core Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Develop high-quality data integration workflows using modern data engineering tools and frameworks.
• Optimize data processing performance, storage usage, and pipeline reliability.
• Implement data quality checks, validation rules, and monitoring dashboards.
• Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
• Manage data security, access controls, and governance best practices.
• Support production workflows, troubleshoot issues, and improve platform stability.
Additional Responsibilities for Data Models & Structures (Operational + DW)
• Own the design and maintenance of logical and physical data models for
operational systems and enterprise data warehouse (OLTP + DWH).
• Define and enforce data modeling standards, naming conventions, and schema governance.
• Translate business processes into efficient database schemas, including star/snowflake models.
• Optimize queries and database structures for high-performance analytics and real-time data access.
• Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
• Lead database refactoring efforts, schema evolution, and versioning processes.
• Perform impact analysis for schema changes across upstream and downstream systems.
Requirements
• Perform impact analysis for schema changes across upstream and downstream systems.
Requirements
Must-Have Requirements
• 5+ years of experience as a Data Engineer or similar role.
• Strong Python Skills and Experience
• Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
• Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
• Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
• Proficiency with cloud platforms (AWS).
• Experience with workflow orchestration (Airflow, Prefect, or similar).
• Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
• Proven ability to design robust data models and optimize database structures.
• Knowledge of data governance, cataloging, and metadata management.
Nice-to-Have Skills
• Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
• Experience with real-time analytics or high-volume distributed data systems
• Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
• Experience with real-time analytics or high-volume distributed data systems
Skills Required
- 5+ years of experience as a Data Engineer or similar role
- Strong Python skills
- Strong SQL / PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar)
- Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.)
- Hands-on experience with data processing frameworks (Spark, Databricks, or similar)
- Proficiency with cloud platforms (AWS)
- Experience with workflow orchestration (Airflow, Prefect, or similar)
- Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals
- Proven ability to design robust data models and optimize database structures
- Knowledge of data governance, cataloging, and metadata management
- Familiarity with CI/CD, infrastructure-as-code, and DevOps practices
- Experience with real-time analytics or high-volume distributed data systems
Arrow Electronics, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arrow Electronics, Inc. and has not been reviewed or approved by Arrow Electronics, Inc..
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Affordable Benefits — Medical coverage includes multiple options with income-tiered employer contributions that substantially reduce costs for lower-wage employees (the base plan was heavily subsidized for earners under $55,000). These affordability measures, alongside EAP and telemedicine, help the overall package offset middling base pay in some roles.
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Parental & Family Support — New parents receive fully paid leave (six weeks at 100% pay in prior materials, with more recent reporting of up to 12 weeks fully paid for the delivering parent in the U.S.). Backup dependent care and related family supports are also provided.
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Leave & Time Off Breadth — Many salaried roles have unlimited PTO, while hourly staff receive competitive accrual-based PTO, with added flexibility from floating holidays and observance of MLK Day. These options indicate a broad time-off framework across employee groups.
Arrow Electronics, Inc. Insights
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Arrow Electronics, Inc. Leadership & Management
Arrow Electronics, Inc. Company Growth, Stability & Outlook
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The Company
What We Do
A Fortune 500 company, ranked #133 in 2024, with over 22,000 employees worldwide, Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2023 sales of $33 billion, Arrow develops technology solutions that improve business and daily life. Arrow.com is the easiest place for innovators to create, make and manage technology.
Why Work With Us
Arrow is much more than products and services. We are a team of many backgrounds in a global ecosystem, working toward one common goal: to help customers create a better tomorrow, where innovation improves the quality of life and the benefits of technology are more accessible to all. Join us in building a better tomorrow for many!
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