GCP Data Engineer
Publication Date:
May 30, 2024
Ref. No:
515217
Location:
Mexico City, Mexico city, MX, 06600
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.
' +9 years of experience. Bachelor 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. - Hadoop Ecosystem - Apache Hive - Apache Spark - Sqoop - Oozie Desirable: - Dataproc experience - Python - Bash General: • Data Platform & Data Lakes • Streaming and Batch Pipelines • SQL Engines. Possible options: • MySQL • SQL Server • PostgreSQL Google Cloud Data Services • Cloud SQL • BigQuery • Dataflow • Bigtable • Dataproc • Composer Python Hadoop Ecosystem • Airflow • Hive • Spark • Beam • Sqoop • Oozie Code Repositories / CICD tools. Possible options: • Github • GitLab • Azure DevOps • Cloud Source Repositories
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