Data Engineer

๐Ÿข MindPlus (Pvt) Ltd ยท all MindPlus (Pvt) Ltd jobs
๐Ÿ“ Sri Lanka
๐Ÿ“… Posted 2026-08-05 ยท via Himalayas
๐Ÿท Data-Engineering,Cloud-Data-Engineering,ETL-ELT-Development,Data-Pipeline-Development,Data-Warehouse-Engineering,Data-Engineer,Data-Engineer-Jobs,Data-Engineering-Jobs,Data-Engineering-Positions
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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.

- 1โ€“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

Originally posted on Himalayas

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