EY

Junior Data Engineer (PCD Exclusive Position) - Talent Pool

PythonSQL
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About the opportunity

Data Engineer - Junior

At EY, we are committed to shaping your future with confidence. We will help you succeed in a globally connected environment, filled with diverse teams, and take your career wherever you wish. Join EY and help us build a better working world.

About the opportunity

In Financial Services (FSO), we are building a better working world by supporting the needs and challenges of our financial sector clients (Capital Markets, Banking, Insurance, and Asset Management) through a single service line that unites our different specialties (Audit, Consulting, Technology, etc.) to serve this sector in a comprehensive and customized way. #FSOEY

What we offer

At EY, you develop future-focused skills and gain world-class experience. We will empower you in a flexible environment and boost your extraordinary talents in a diverse and inclusive culture, with globally connected teams.

For the 4th consecutive year, EY is on the Great Place to Work list as one of the best companies to work for, with highlights in diversity categories. You will be able to be part of our programs and groups that, together with numerous internal initiatives, support our constant pursuit of equity.

You will take on the following responsibilities:

Collaborate in multidisciplinary teams, communicating effectively and contributing to innovative solutions in data projects. Use critical thinking to analyze information, identify patterns, and propose improvements.

Pursue continuous learning, adapting to new technologies and market trends, and solve problems creatively and efficiently, driving high-impact results.

Minimum requirements

Requirements and skills we are looking for

  1. Completed or ongoing higher education in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, and related fields.
  1. Proficiency in Python for scripting, data manipulation, and ETL solutions.
  1. Knowledge of SQL for database manipulation and querying.
  1. Skill in PySpark for data manipulation.
  1. Experience with Apache Spark for large-scale data processing.
  1. Knowledge of Hadoop for data storage and processing.
  1. Ability to write HiveQL queries and optimize queries.
  1. Use of GitHub for team project collaboration.
  1. PowerBI or other Data Visualization tools.
  1. ElasticSearch: Implementation of search solutions, analysis, index and query optimization, and integration with tools.
  1. Knowledge of Databricks.
  1. Familiarity with DevOps tools and Generative AI.

Benefits

Grocery voucher and/or meal voucher, transportation voucher, health insurance, dental assistance, EY Perks (exclusive EY benefits platform), Corporate University and other educational benefits, Gympass, profit sharing (PLR), and much more.

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