Data Engineer GCP

Mexico City, Mexico city, MX, 06600

Applications have closed

Atos

Atos is a global leader in digital transformation with 112,000 employees and annual revenue of c. € 11 billion.

View company page

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 53,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Data Engineer GCP

 

  • Bachelor’s degree in computer science, Mathematics or a related technical field or equivalent practical experience.
  • Certifications Minimum: Google Professional Data Engineer, Google Professional Cloud Architect Preferred: AWS Big Data Speciality Certification
  • 10+ years direct experience in Enterprise Data Warehouse technologies
  • 5+ years in a customer facing role working with enterprise clients
  • Experience with architecting, implementing and/or maintaining technical solutions in virtualized environments.
  • Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.
  • Experience with developing software code in one or more languages such as Java, Python and SQL.
  • Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.
  • Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.
  • Demonstrated excellent communication, presentation, and problem-solving skills.
  • Experience in project governance and enterprise customer management.

 

Technical Sklls:

 

  • Hadoop Ecosystem - Apache Hive - Apache Spark - Sqoop - Oozie Desirable: - Dataproc experience - Python - Bash

 

 

Let’s grow together.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Big Data Cassandra Computer Science Data pipelines Dataproc Data warehouse GCP Hadoop HBase Java Mathematics MongoDB MS SQL MySQL Oozie Oracle Pipelines PostgreSQL Python Qlik Security Spark SQL Tableau Teradata

Region: North America
Country: Mexico
Job stats:  4  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.