Lead Data Engineer

Posted 25 Days Ago
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Ma‘adi, Cairo
Senior level
Information Technology • Machine Learning • Real Estate
The Role
The Lead Data Engineer will lead a team, design and maintain data infrastructure, and ensure data integrity while optimizing data pipelines for various organizational needs.
Summary Generated by Built In

Nawy Proptech is in search of a highly motivated and talented Lead Data Engineer to become a valuable addition to our dynamic team. As a Lead Data Engineer at Nawy, you will be responsible for leading a team of data engineers and designing, implementing, and maintaining data infrastructure to support the organization's data needs. Additionally, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.

  • Lead and mentor a team of data engineers, providing guidance, support, and coaching to ensure their professional growth and development.
  • 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.

Requirements
  • 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 5 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.

Top Skills

AWS
Azure
Flink
Google Cloud Platform
Kafka
Python
Spark Streaming
SQL
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The Company
HQ: New Cairo, New Cairo
1,392 Employees

What We Do

An end to end platform providing a seamless experience for prospective buyers, sellers & investors in the real estate space.

We are a tech-based information & services hub with multiple arms that tackle every step of our clients journey from searching for a home, to buying, selling, consulting and/or investing in properties on a fully immersive digitized platform.

Using machine learning and tailored algorithms that foresee & learn customer demands properties are recommended that better suit their needs. The ease of online navigation, the ability to compare different properties and filter according to personal interests allows customers malleability and short search times.

Our Nawy Now service allows customers to move in and pay later with reasonable payment plans. This program tackles the adversity of finding ready to move homes by providing a wide array of competitively priced properties with up to 10 year installment plans.

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