About Us:

CloudBrain Solutions is a dedicated provider of comprehensive cloud services, specializing in Cloud Infrastructure Setup, Cloud Migration and Integration, Cloud Security and Compliance, and Cloud Optimization and Cost Management. We empower organizations by delivering robust and secure cloud environments that drive efficiency and innovation.

Job description:

We are seeking a skilled Data Engineer to join our UK team. This role involves developing, building, and maintaining the data infrastructure supporting our e-business solutions. The successful candidate will ensure data availability, reliability, and optimization for analytical purposes, directly contributing to application performance and informed decision-making for clients.

Key Responsibilities

• Develop and maintain scalable data pipelines and ETL/ELT processes.
• Construct and optimize data warehousing solutions (e.g., data marts, data lakes).
• Ingest, cleanse, and transform large, complex datasets from disparate sources.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with development teams and stakeholders to ascertain data requirements.
• Automate data workflows and infrastructure management tasks.
• Troubleshoot and resolve data-related issues efficiently.
• Evaluate and implement new data technologies to enhance platform capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical discipline.
• A minimum of 1 years of professional experience as a Data Engineer or in a comparable role.
• Advanced proficiency in SQL and extensive experience with relational databases.
• Expertise in at least one programming language pertinent to data engineering (e.g., Python, Scala, Java).
• Solid understanding of data warehousing principles and ETL/ELT methodologies.
• Demonstrated experience in developing and optimizing data pipelines.
• Strong analytical, problem-solving, and debugging capabilities.
• Excellent communication and collaboration skills for effective teamwork and cross-functional engagement.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their respective data services is highly advantageous.
• Knowledge of big data technologies (e.g., Spark, Kafka, Hadoop) is a plus.