Senior Data Engineer
1 day ago
**Position**: Senior Data Engineer
**Seeking an experienced Senior Data Engineer to design, development, and optimization of
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
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