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