Data Engineer
# Data Engineer **MindPlus (Pvt) Ltd** · Sri Lanka · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[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]` --- ### About the Role 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 Originally posted on Himalayas
- 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
Наблюдалась 2026-10-04, впервые 2026-10-04, источник — Himalayas (JSON API).