EY

Data Engineer (AWS, Redshift & Spark)

PythonSQLAWS
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What will be your role in this purpose?

We know that careers can be as different as people themselves. That's why, at EY, you'll have the freedom, the tools, and the conditions to develop and build a career as unique as you are.

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 #TechFSO #CarreiraTech

As a Data Engineer, you will work on a large client project internationally, with opportunities for growth in various areas within the financial segment. You can count on tools, knowledge, and opportunities to advance and be ready to build a better world of business for our people, clients, and the communities that support us.

Want to feel challenged, motivated, and valued every day? Inspire change and leave a legacy? Join our team and help us build a better world of business!

Learn more about what it's like to work at EY:

Careers at EY ey.com/pt_br/careers LinkedIn @EY linkedin.com/company/ernstandyoung/ Instagram @eybrasilcarreiras instagram.com/eybrasilcarreiras/

Why you?

If you meet the requirements below, this opportunity might be yours:

  1. Graduation in Information Systems, Computer Science, Data Engineering, or a related field;
  1. Advanced/Fluent English - C2 (there will be contact with international clients);
  1. Proven experience with AWS development focusing on Glue, Spark, and Redshift;
  1. Proficiency in programming languages like Python or Scala for data processing;
  1. Strong understanding of data warehousing concepts and best practices;
  1. Experience with SQL and database management systems is necessary.

Main responsibilities

  1. Design, develop, and implement data solutions on AWS using Glue, Spark, and Redshift. Collaborate with data engineers and data scientists to understand data requirements and translate them into scalable data pipelines;
  1. Create and manage ETL processes using AWS Glue to extract, transform, and load data from various sources;
  1. Optimize data processing workflows on Apache Spark to ensure efficient data handling and analysis;
  1. Develop and maintain data models and schemas in Amazon Redshift to support reporting and analysis;
  1. Monitor and troubleshoot data pipelines to ensure data quality and integrity;
  1. Document data processes, architecture, and best practices for knowledge sharing and compliance.

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

Who we are: We are one of the largest service companies in the world, in Audit, Consulting, Tax, Strategy, and Transactions, driven by Technology. With a presence in over 150 countries, here you will have the opportunity to live exceptional experiences that only EY can offer, with global reach, inclusive culture, and technology to become your best version.

Here, we believe that the strength that drives innovation comes from the diversity of people and ideas. According to Great Place to Work 2022, we are the best company for LGBTQ+ people in Brazil, and the 2nd best company for Women and Black People. Thus, you can be part of our programs and groups that, along with countless internal initiatives, support our constant pursuit of equity.

Opportunity available in an in-office model (with flexibility for remote) at EY offices throughout Brazil.

EY believes in equal opportunities. Regardless of gender, age, race, color, creed, sexual orientation, and disability, all qualified candidates will be considered in our processes.

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