Data Engineer

About the Client

Our client is a globally recognized professional services and technology consulting organization, delivering innovative solutions in digital transformation, cloud, data, artificial intelligence, cybersecurity, and business operations. With a strong presence across multiple industries, the company is known for its collaborative work culture, cutting-edge technologies, and commitment to developing talent while helping organizations solve complex business challenges.

Job Overview

We are looking for a Data Engineer to design, develop, and maintain scalable data solutions and pipelines that support enterprise-level analytics and business operations. The ideal candidate will work with cloud technologies, modern data platforms, and cross-functional teams to deliver reliable and high-quality data engineering solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing solutions.
• Build and optimize ETL/ELT workflows using cloud-based data engineering tools.
• Process and integrate data from multiple source systems into enterprise data platforms.
• Ensure high-quality, reliable, and efficient data solutions by following software engineering best practices.
• Collaborate with cross-functional teams in an Agile environment to deliver data projects.
• Support CI/CD processes, DevOps practices, and post-deployment monitoring.
• Troubleshoot and optimize data workflows for performance and scalability.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• 1–2 years of experience in data engineering or enterprise data processing.
• Strong programming skills in Python, SQL, and Shell scripting.
• Experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or AWS.
• Knowledge of relational and NoSQL databases, data warehousing, and distributed data processing.
• Familiarity with CI/CD tools, Git, Agile methodologies, and DevOps practices.
• Strong analytical, problem-solving, and communication skills with a passion for data engineering.

Interested candidates may send their CV to [email protected]