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Data Engineer - Python & AWS Experience

Data Engineer - Python & AWS Experience
Capgemini
8 months 1 week ago

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.

About Service Line

Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies and they choose to partner with Capgemini for a very good reason - our exceptional people.

Job Overview

Key Skills and Experience:

  • Proficient in Python programming language
  • Strong experience with any database technologies (e.g., MySQL, PostgreSQL, NoSQL databases)
  • Basic understanding of big data concepts and technologies (e.g., Hadoop, Spark)
  • Familiarity with Amazon Web Services (AWS), particularly S3, EC2, EMR
  • Excellent problem-solving and analytical skills
  • Effective communication and teamwork abilities

Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes.
  • Query and manipulate data using Python and SQL
  • Perform data analysis and generate reports
  • Collaborate with cross-functional teams to understand data needs and implement solutions
  • Support the development and deployment of big data applications on AWS
  • Stay up-to-date with the latest technologies and best practices in data engineering

Additional Requirements:

  • 2+ years of experience in a data engineering or related role
  • Experience working in a cloud computing environment (AWS preferred)
  • Excellent communication and documentation skills

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Key skills

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