DATA ENGINEER SPARK /SCALLA

• CDI
• Cairo
• Publié il y a 3 mois
  
  

RED TIC is looking for a talented Data Engineer (Spark/Scala) to join our client’s team as a Data Engineer, you will play a key role in building and optimizing data pipelines, developing scalable data solutions and working with large datasets using Spark and Scala technologies.

Key Responsibilities

Data Pipeline Development:

• Design, develop, and maintain robust data pipelines using Apache Spark and Scala to process and analyze large volumes of data.
• Integrate and consolidate data from various sources into a unified data warehouse, ensuring high-quality data processing.
• Build and optimize real-time and batch data processing workflows.
  
  

Collaboration And Data Solutions

• Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
• Work on designing and implementing scalable data architectures and data warehouses.
• Troubleshoot and debug complex data engineering issues to ensure the reliability of data systems.
  
  

Performance Optimization

• Optimize Spark jobs and Scala-based processing to ensure efficient data handling, storage, and retrieval.
• Monitor system performance and optimize the architecture to meet business requirements while improving speed and scalability.
  
  

Profile Required

Technical Expertise:

• Strong experience in Apache Spark (especially with large-scale data processing).
• Proficiency in Scala for building high-performance applications and data pipelines.
• Experience with data storage systems such as Hadoop, HDFS, or NoSQL databases.
• Familiarity with distributed computing concepts and cloud platforms (e.g., AWS, Google Cloud, or Azure).
• Solid understanding of SQL and experience with relational databases (e.g., MySQL, PostgreSQL, or similar).
  
  

Experience

• 3+ years of experience in data engineering or a related field.
• Proven track record of working with large datasets and building data pipelines.
  
  

Desirable Skills

• Knowledge of additional data processing tools or languages such as Python or Java.
• Experience with containerization tools like Docker and orchestration tools like Kubernetes.
• Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
  
  

Soft Skills

• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as in a team environment.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
  
  

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Mobile

Niveau d étude

Bac Bac +1 Bac +2 Bac +3 Bac +4 Bac +5 Bac + X

Années d’Expérience

0 +1 +2 +3 +4 +5 +6 +7 +8 +9 + 10

Préavis

Disponible immédiatement -1 mois 1 mois 2 mois +2 mois

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