EY

Talent Pool - Mid-level Data Engineer 1

PythonSQL
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What we offer

Mid-level Data Engineer - (Multiple Offices)

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 it to go.

Join EY and help us build a better world of business.

About the opportunity

In Tech Financial Services (Tech FSO), we are building a better world of business by supporting the technological needs and challenges of our clients in the financial sector (Capital Markets, Banks, Fintechs, Insurance, and Asset Management). We deliver tailor-made solutions based on the specific needs of each business, from a multidisciplinary team of specialists with different profiles, such as Data specialists, UX, business analysts, and scrum masters. #TechEY

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 4th 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 countless internal initiatives, support our constant pursuit of equity.

You will take on the following responsibilities

As a Mid-level Data Engineer, you will be responsible for collaborating in multidisciplinary teams, working on the manipulation, transformation, and analysis of large volumes of data. Your role will be fundamental in identifying patterns, proposing innovative solutions, and contributing to strategic decision-making, always with a focus on continuous learning and technical excellence.

Requirements and skills we are looking for

  1. Completed or ongoing higher education in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, or related fields.
  1. Experience as a Data Engineer.
  1. Proficiency in Python for scripts, data manipulation, and ETL.
  1. Knowledge of SQL for database manipulation and querying.
  1. Skill with PySpark for data manipulation.
  1. Experience with Apache Spark for large-scale data processing.
  1. Knowledge of Hadoop and Hive (HiveQL queries).
  1. Familiarity with GitHub for versioning and collaboration.
  1. Knowledge of PowerBI or other Data Visualization tools.
  1. ElasticSearch: implementation of search, analysis, and integration solutions.
  1. Cloud Computing certifications.
  1. Experience with Databricks.
  1. Familiarity with DevOps tools and Generative AI.

Discover some of our benefits: Health and dental insurance, Childcare assistance, Benefits platform and exclusive discounts EY, Education incentives, Birthday off, Gympass/Wellhub, Profit Sharing (PLR), Private pension plan, Meal Voucher and/or Meal and Transportation Voucher, and much more.

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