GCP Data Engineer

Conexus are currently working with a global consultancy who require a GCP Data Engineer to join a client headquartered in Paris on an initial 6-12 month freelance contract.

This is a hybrid position located in Paris, however the level of travel is negotiable.

The successful candidate will have experience in a Data Engineer role, and be familiar with the Google Cloud Platform.

They should also demonstrate their experience using the following technologies:

• SQL authoring, query and cost optimisation primarily on BigQuery.
• Data pipeline, data streaming and workflow management tools: DataFlow, PubSub, Hadoop, Spark-streaming
• Python as an object-oriented Scripting language.
• Version control system: GIT.
• Preferable knowledge of Infrastructure as Code: Terraform.

Responsibilities for GCP Data Engineer:

• Create and maintain optimal data pipeline architecture, while automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading data from a wide variety of data sources using SQL and GCP Big Data technologies.
• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with data and analytics experts to strive for greater functionality in data systems.

Qualifications for GCP Data Engineer:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimising data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.

If this opportunity would be of interest to you, please forward a CV for consideration.