Data Engineer

Role Summary

We are looking for a motivated Data Engineer to join our agile team. In this role, you will contribute to building impactful data solutions for a global leader in the food marketing and distribution industry, focusing on scalable and highly available distributed applications.

Key Responsibilities

• Architect and build robust data processing systems designed for enterprise-scale demands.
• Follow software engineering best practices to maintain high code standards.
• Participate in the entire software development lifecycle, including development, testing, deployment, and production maintenance.
• Utilize DevOps and CI/CD methodologies to ensure seamless delivery.
• Collaborate within a cross-functional team using Scrum/Agile frameworks.

Qualifications and Skills

• A Bachelor's degree in Computer Science or a related field.
• 1 to 2 years of professional experience building enterprise-level data applications.
• Proficiency in Python, SQL, and Shell scripting.
• Practical knowledge of relational and NoSQL databases, along with distributed storage like S3, HDFS, or Redshift.
• Experience with ETL design and tools such as Informatica or AWS services (Glue, EMR, Lambda, etc.).
• Familiarity with streaming technologies like Kafka or Kinesis is a plus.
• Knowledge of API development (NodeJS) or frontend tools (AngularJS) is advantageous.
• Strong communication skills and a commitment to continuous professional growth.

How to Apply

Please submit your application through the official recruitment channels provided by the company.