About the role

Aplyr's Quick Take

This role is for a Senior Data Engineer focused on building and optimizing data pipelines and models. You'll work with both structured and unstructured data, ensuring data quality and performance while collaborating with analysts and scientists. It's primarily an individual contributor role with some leadership in data modeling.

Good fit

Ideal candidates have over 5 years of experience in data engineering, strong Python and SQL skills, and familiarity with cloud platforms like AWS. A collaborative mindset and ability to troubleshoot complex data issues are essential.

Worth noting

The role emphasizes both operational and enterprise data warehouse responsibilities, which may appeal to those looking to deepen their expertise in data modeling. The company is based in Cairo, which could be a consideration for remote work preferences.

Position:

Senior Data Engineer

Job Description:

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.

• Lead database refactoring efforts, schema evolution, and versioning processes.
• 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

Location:

EG-Cairo, Egypt (Al Emdad & Al Tamween)

Time Type:

Full time

Job Category:

Information Technology

Skills & Tags

data

Aplyr's read

Arrow Electronics is a key player in technology solutions, employing a diverse workforce from engineers to sales professionals to drive innovation in electronics distribution.
Synthesized from recent postings & public sources

What's promising

•Strong global presence with operations in over 80 countries, offering vast career opportunities.
•Diverse role offerings from engineering to sales, catering to various career paths.
•Focus on cutting-edge technology solutions, keeping employees at the forefront of industry advancements.

What to watch

•Highly competitive industry may lead to pressure on margins and job security.
•Complex organizational structure could lead to bureaucratic challenges.
•Rapid technological changes require constant skill updates, potentially increasing employee stress.

Why Arrow Electronics

•Specializes in both electronic components and enterprise computing solutions, offering a broad industry scope.
•Strong emphasis on innovation, reflected in diverse engineering and technical roles.
•Global distribution network provides employees with international exposure and opportunities.

Aplyr’s read is generated by AI from public sources. Was it useful?