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Junior Data Engineer

Key Facts

Remote From: 
Full time
Junior (1-2 years)
English

Other Skills

  • Reliability
  • Troubleshooting (Problem Solving)
  • Communication
  • Teamwork
  • Proactivity
  • Analytical Thinking
  • Detail Oriented
  • Social Skills
  • Problem Solving

Roles & Responsibilities

  • 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.
  • In-depth knowledge of Git and its best practices for version control and collaboration.

Requirements:

  • 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.

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.


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