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Big Data Tech Lead

Job Location:

Cairo - Egypt

Monthly Salary: Not provided by the employer

Experience Required: 7years

Posted: 5 June 2026 (30+ days ago)

Application Deadline: 3 September 2026

Vacancies: 1 Vacancy

Main Objective:

Responsible for creating and managing the companys Big Data infrastructure and tools and knows how to get results from vast amounts of data quickly.

Key Responsibilities:

Leading a team of data engineers and data scientists to design develop and maintain our big data architecture infrastructure and analytics solutions.
Designing and implementing big data solutions to support our business needs.
Developing and implementing data analytics strategies to provide business insights.
Ensuring data security and compliance with regulatory requirements.
Evaluating platforms and conducting POCs.
Providing the low-level design for the data solution.
Planning/controlling the data products development activities.
Managing implementations and providing solutions for the clients problems.
Designing and developing data processing pipelines to ingest process and analyze large volumes of data.
Identifying and resolving technical issues related to big data infrastructure and analytics solutions
Responsible for sprint planning Stand up meetings and retrospective meetings.
Mentoring coaching and evaluating team members to ensure their growth and development.

What you should have

Bachelor of Computer Science Data Science or any relevant field.
Overall from 7 - 10 years of experience including Min. 4 years of experience as big data team lead.
Deep knowledge of Hadoop spark spark streaming HBase debezium hive Cloudera CDH and Kafka no SQL.
Deep knowledge of Data warehousing and data migration concepts.
Deep Knowledge of Data architecture layers.
Deep Knowledge of database application development.
Deep knowledge of IBM/ Informatica/ Talend.
Deep knowledge of Java/Python / R or Scala.
Proficiency in data analytics tools such as Tableau Power BI or QlikView.
Proficiency with data modeling tools.
Proficiency in Agile development methodologies.