Senior Data Engineer - Octopus by RTG

Who we are

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Octopus by RTG is hiring for a company in the banking sector a skilled Senior Data Engineer.

Position Overview

We are seeking a Senior Data Engineer with 3 to 7 years of experience to design, develop, and optimize data solutions within Cloudera, Enterprise Data Warehouse (EDW), and SQL environments. The ideal candidate will have a strong background in data engineering and database management, with a preference for those who have experience in the banking sector. This role requires expertise in handling large-scale data, ensuring data integrity, and building efficient data pipelines.

Job Responsibilities

• Design, develop, and maintain data pipelines and ETL processes within Cloudera and Enterprise Data Warehouse environments.
• Work with SQL databases to extract, transform, and load (ETL) large datasets.
• Ensure data quality, consistency, and security across different data sources.
• Optimize data storage, retrieval, and performance for analytics and reporting.
• Collaborate with business analysts, data scientists, and other stakeholders to support data-driven decision-making.
• Troubleshoot and resolve data-related issues, ensuring minimal downtime.
• Implement best practices for data governance, security, and compliance, particularly in the banking industry.

Requirements

• 3 to 7 years of experience in data engineering.

• Strong expertise in Cloudera, Enterprise Data Warehouse (EDW), and SQL.
• Experience in data modeling, ETL processes, and performance tuning.
• Ability to handle large-scale data processing efficiently.
• Strong problem-solving and troubleshooting skills.
• Banking industry experience is preferred.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary based on experience and qualifications.

• Comprehensive medical and social insurance coverage.

• Opportunity to work with cutting-edge big data technologies.

• Career growth and professional development in a dynamic environment.