Data Engineer

hace 6 días


Xico, México Capgemini A tiempo completo

Overview

We are looking for a highly skilled Data Engineer to join our team in Financial Services. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data solutions using Hadoop ecosystem.

About the Role

The successful candidate will have more than 5 years of experience in Java Spark and will be able to write complex Hive Queries for data extraction, transformation, and analysis. You will also work with Apache Spark to process large datasets and optimize workflows.

Key Responsibilities

  • Develop and maintain large-scale data solutions using Hadoop ecosystem.
  • Write complex Hive Queries for data extraction, transformation, and analysis.
  • Work with Apache Spark to process large datasets and optimize workflows.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.

Requirements

To be successful in this role, you will need:

  • More than 5 years of experience in Java Spark.
  • Strong shell scripting and Unix command-line skills.
  • Experience with Hadoop, Spark, and Core Java.
  • Proven track record of delivering high-quality results under pressure.

What We Offer

At Capgemini, we offer a competitive salary, benefits package, and opportunities for growth and development. Our collaborative environment is centered around Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun. We prioritize employee well-being and provide a range of resources to support your success.

Salary Range

$120,000 - $180,000 per year, depending on experience.


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