Offer summary

Qualifications:

Proficiency in SQL and Python for data manipulation and automation., Hands-on experience with cloud infrastructure, preferably Azure or similar., Strong understanding of algorithms, programming concepts, and version control with Git., Excellent problem-solving skills, attention to detail, and ability to work collaboratively..

Key responsibilities:

Maintain and optimize cloud-based data systems for reliability and scalability.

Perform ETL processes to support business operations and decision-making.

Identify, troubleshoot, and resolve system issues to enhance performance.

Collaborate with cross-functional teams and communicate effectively in English.

Job description

This is a remote position.

We are seeking a skilled and proactive Junior Data Engineer to join our team and work with one of our clients, a global leader that develops and distributes brands across more than 150 countries and territories, with products available in thousands of retail distributors worldwide.

As a Data Engineer, you will apply your technical expertise and problem-solving mindset to optimize cloud infrastructure and systems. Your responsibilities will include system enhancements, ETL processes, and maintaining cloud-based solutions, contributing to the efficiency and innovation that support the client’s global success.

Job Activities

Maintain and optimize cloud infrastructure to ensure reliability and scalability for data systems.
Extract, transform, and load (ETL) data across various systems to support business operations and decision-making.
Identify and resolve issues within existing systems to enhance performance, stability, and scalability.
Troubleshoot and fix bugs in deployed systems, ensuring minimal downtime and disruption.
Optimize systems and streamline existing processes to improve efficiency and reduce latency.
Build and optimize system deployment structures to ensure smooth, consistent deployments and system performance.

Requirements

Experience with SQL for data manipulation, querying, and analysis.
Experience with Python skills for automation, scripting, and system integration.
Deep familiarity with cloud infrastructure and hands-on experience in maintaining and optimizing cloud environments.
Understanding of algorithms and programming concepts, with the ability to solve complex problems.
In-depth knowledge of Git and its best practices for version control and collaboration.
A proactive mindset with the ability to anticipate challenges and propose solutions before problems arise.
Analytical mindset with a strong focus on problem-solving and system optimizations.
Exceptional attention to detail in technical and operational tasks, ensuring high-quality results.
Excellent teamwork and interpersonal skills for collaboration with cross-functional teams.
Advanced proficiency in English, both written and spoken, for clear communication with global teams and stakeholders.

Desirable

Experience with Microsoft Azure or similar cloud platforms for building scalable and resilient systems.
Knowledge of Kubernetes for container orchestration and managing cloud-native applications.
Familiarity with Databricks or similar big data tools for data processing and management.

Required profile