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Senior Data Engineer

Nawy Real Estate · Maadi, Al Qāhirah, Egypt · Hybrid

About Nawy Real Estate

19 open jobs

Weak hiring record · median 96 days open

4444

Hiring signal

Stale

Open 118 days · How we score

All reasons
  • Open 118 days
  • 63% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Senior Data Engineer at Nawy Real Estate. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions.
  • Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure.
  • Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs.
  • Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data.
  • Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity.
  • Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities.
  • Perform data modeling and schema design to support analytical and reporting requirements.
  • Design and build data marts and business layers to facilitate efficient data access and analysis.
  • Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.
  • Proven experience as a Data engineer or similar role, with at least 4 years of experience.
  • Advanced SQL knowledge/experience - complex queries and query optimization.
  • Proficiency in programming languages such as Python.
  • Experienced in the development of data warehouses and proficient in data modeling.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus.
  • Strong problem-solving skills and attention to detail.
  • The ability and willingness to learn new technologies on the job.
  • Self driven, highly motivated, fast learner, ambitious and creative.

Skills

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