Hadoop Data Engineer

The Role

As a Hadoop Data Engineer, you will be responsible for designing, developing, and maintaining scalable data processing systems. You will work closely with data scientists and analysts to ensure data availability and quality.

• Design and implement data pipelines using Hadoop ecosystem tools.
• Optimize data processing workflows for performance and scalability.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Monitor and troubleshoot data processing jobs.
• Ensure data security and compliance with best practices.

Team Structure:
You will be part of a dynamic team of data engineers and analysts, working in an agile environment.

The ideal candidate will have a strong technical background and a passion for data engineering.

• Experience with Hadoop, Spark, and related technologies.
• Proficiency in SQL and data modeling.
• Familiarity with data warehousing concepts.
• Understanding of ETL processes.
• Experience with cloud platforms (AWS, Azure).

• Communication
• Problem Solving

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field.

This contract position offers competitive compensation and the opportunity to work on cutting‑edge data projects.

• Growth opportunities within the company.
• Collaborative and innovative work culture.
• Flexible remote work options.
• Access to learning and development resources.