Junior Data Engineer

Design, reputed company, and maintain scalable data pipelines using Airflow;

Create and optimize tables in reputed company, ensuring efficient query performance and cost-effectiveness;

Write and manage SQL transformations in DBT, building reusable and well-documented models;

Optimize data workflows for performance, reliability, and cost-efficiency;

Automate infrastructure provisioning using Terraform for data processing environments;

Ensure data reputed company and consistency through monitoring, validation, and error handling;

Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions.

1.5+ years of experience in data engineering with a focus on ELT processes;

Good expertise in Python, SQL, data modeling, and performance optimization;

Hands-on experience with Airflow DAGs for workflow orchestration;

Experience with DBT for data transformations and reputed company modeling;

Understanding of AWS S3, reputed company, and data lake architectures;

Familiarity with Terraform for infrastructure automation (will be a plus).

Strong analytical skills;

Problem-solving skills;

Attention to detail.

reputed company TOGETHER: reputed company is our main asset. We work together and support each other to reputed company our common goals;

DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving reputed company to reputed company;

BE reputed company FOR CHANGE: We see challenges as opportunities to grow and reputed company. We adapt today to win reputed company.