Qureos

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SR .Data Engineer (Part-Time)

We are looking for a focused and highly skilled Part-Time Data Engineer to join our team.
You will be responsible for designing, building, and maintaining our data pipelines and infrastructure. Since this is a part-time role we are looking for a professional who can work independently, prioritize high-impact tasks, and ensure our data is clean, accessible, and reliable for our software products and business analytics.
Key Responsibilities

1. Data Architecture & ETL

  • Design and implement robust ETL/ELT pipelines to move data from various sources (APIs, Databases, Logs) into our data warehouse.
  • Optimize data flow and collection for cross-functional teams (Product, Engineering, Sales).
  • Ensure data integrity and high availability for our software applications.

2. Infrastructure & Maintenance

  • Monitor and tune database performance and query efficiency.
  • Implement data security and privacy best practices (GDPR/Compliance).
  • Maintain and scale our data stack (e.g., PostgreSQL, BigQuery, Snowflake, or similar).

3. Tooling & Collaboration

  • Build internal tools for data monitoring and automated reporting.
  • Work closely with the Project Coordinator and Developers to ensure data requirements are met for new feature launches.

Required Technical Stack

  • Languages: Mastery of SQL and Python (or Scala/Java).
  • Data Tools: Experience with orchestration tools like Airflow, Prefect, or dbt.
  • Cloud: Proficiency in AWS, Azure, or GCP (Google Cloud Platform).
  • Big Data: Familiarity with Spark, Kafka, or NoSQL databases is a plus.

Required Experience

  • Experience: 3–5 years of professional experience in Data Engineering.
  • Autonomy: Proven ability to manage your own time and deliver projects within a part-time schedule.
  • Communication: Crystal-clear English communication (essential for asynchronous work and documentation).

Application Question(s):

  • This role requires coming to the office for meetings when needed

Do you mind that ?

Education:

  • Bachelor's (Preferred)

Experience:

  • Data Engineer: 4 years (Preferred)

Work Location: Hybrid remote in Giza

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