EY

Data Engineer (Junior) - Talent Pool (PCD Exclusive Opening)

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, full of diverse teams, and take your career wherever you want to go. Join EY and help us build a better business world.

About the opportunity

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

What we offer

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

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

You will undertake 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.

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

Minimum requirements

Requirements and skills we are looking for

  1. Bachelor's degree completed or in progress 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. Ability 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 and Generative AI tools.

Benefits

Meal Voucher and/or Food Voucher, Transportation Voucher, Health Plan, Dental Assistance, EY Advantages (exclusive benefits platform of EY), Corporate University and other Educational benefits, Gympass, PLR, and much more.

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