Description

You will design and implement data pipelines, ETL processes, and storage solutions for data-intensive applications.

This role is on-site.

Responsibilities

• Design and implement data pipelines and ETL processes.
• Develop and maintain architectures for databases and large-scale data processing systems.
• Build transactional, warehouse, analytical, and reporting data platforms.
• Apply engineering practices including TDD, DevSecOps, software automation, and CI/CD.
• Collaborate using Agile and XP practices to deliver technical solutions.

Required Skills

• 5+ years of experience in data pipeline design and ETL implementation.
• 3+ years of experience with Spark, Databricks, and AWS.
• 3+ years of experience in cloud development using the AWS platform.
• 3+ years of experience designing transactional, warehouse, and analytical data platforms.
• Proficiency in Python and Java.
• Strong knowledge of data structures and algorithms.
• Experience with TDD, DevSecOps, and CI/CD automation.

Preferred Skills

• Experience working within Agile and XP frameworks.

Key Skills

Education

Bachelor's degree