Cloud Data Engineer

Capgemini

Bologna, Italy
On-site
Cloud (aws, gcp, azure)
Databricks and snowflake platforms
Etl/elt pipeline development
As an expert Cloud Data Engineer at Capgemini, you will support clients in building Modern or Big Data Architectures, implementing data solutions, and analyzing data using dedicated tools, following main Data Governance programs

Job Summary

  • As an expert Cloud Data Engineer at Capgemini, you will support clients in building Modern or Big Data Architectures, implementing data solutions, and analyzing data using dedicated tools, following main Data Governance programs.
  • Design and implement data analytics, Big Data, and Data Warehouse solutions in Cloud environments (AWS, GCP, Azure) and platforms like Databricks and Snowflake.
  • Collaborate with internal teams and clients to integrate and transform data from various sources (cloud and on-premise) and support the design and implementation of data architectures on Azure, AWS, or GCP.

Matching Summary

As an expert Cloud Data Engineer at Capgemini, you will support clients in building Modern or Big Data Architectures, implementing data solutions, and analyzing data using dedicated tools, following main Data Governance programs.

Skills & Requirements

Must-have

  • Cloud (AWS, GCP, Azure)
  • Databricks and Snowflake platforms
  • ETL/ELT pipeline development
  • SQL, NoSQL, Data Warehouse modeling
  • Big Data frameworks (Spark, Hadoop, Hive, Kafka)
  • Data Governance and security implementation

Nice-to-have

  • Scala, Java for data analysis
  • Analytical and problem-solving mindset
  • Client management aptitude

Key Requirements

  • Experience with Databricks, Azure, AWS, GCP, or Snowflake
  • Advanced SQL query writing
  • Knowledge of data integration cloud services
  • Familiarity with Big Data frameworks
  • Good knowledge of English

Work Rights

Not specified

Tailored Resume

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