Data Engineer

The Chefz • Full-time • عمان, JO • 3m ago

Key Responsibilities

Design, build, and maintain scalable data pipelines (ETL/ELT)
Develop and optimize data architecture, data lakes, and warehouses
Ensure data quality, reliability, and integrity across systems
Collaborate with Product, Engineering, and Analytics teams to define data needs
Build real-time and batch data processing systems
Optimize database performance and query efficiency
Implement data governance, security, and best practices
Mentor junior data engineers and promote engineering excellence

Requirements

5+ years of experience in data engineering or related roles
Strong proficiency in Python and SQL — not just writing queries, but designing reusable, tested pipeline code
Hands-on AWS experience (required): Redshift, S3, Athena, ECS, EventBridge
Experience building and maintaining data warehouses — Redshift experience is a strong plus
Familiarity with workflow orchestration tools such as Airflow or equivalent, including ECS-based scheduling patterns
Experience with multi-database environments: PostgreSQL/Aurora and MySQL/MariaDB
Strong understanding of data modeling, dimensional design, and schema evolution
Experience with streaming technologies such as Kafka is a plus
Comfort working in a fast-moving product company where priorities shift and pipelines must be resilient

Nice to Have

Experience supporting machine learning pipelines
Knowledge of data governance and privacy best practices
Experience in fast-paced startups or product companies
Exposure to BI tools (e.g., Metabase, Tableau, Power BI)

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