Data Engineer

📋 Description

• Develop, maintain, and troubleshoot data pipelines and solutions.
• Provide technical and production support for client projects.
• Work with large datasets using Python, SQL, and Spark.
• Collaborate with clients and internal teams to resolve issues.
• Monitor, troubleshoot, and optimize data workflows.

🎯 Requirements

• 2–4 years of relevant Data Engineering experience.
• Strong hands-on experience with Python, SQL, and Spark.
• Prior experience working on client-based projects – mandatory.
• Strong troubleshooting and problem-solving skills.

🎁 Benefits

• Competitive salary and strong insurance package.
• Extensive learning and development resources.