Data Engineer
Cervello Inc
London, England, United Kingdom
3d ago

You have experience with client projects and in handling vast amounts of data - working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques.

You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Analytics team.

Play a key role on projects from a data engineering perspective, working with our Architects and clients to model the data landscape, obtain data extracts and define secure data exchange approaches.

This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science

Job responsibilites :

  • Plan and execute secure, best practice data integration strategies and approaches
  • Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
  • Create and manage data environments in the Cloud
  • Collaborate with our business analysts and data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
  • Managing and monitoring the data integration process
  • Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
  • Qualifications and Required Skills :

  • Experience and desire to work with open source and branded open source frameworks
  • Experience working on projects within the cloud ideally AWS, Azure, GCP or Snowflake
  • Experience working on agile delivery projects and a consulting setting, often working on different and multiple projects at the same time
  • Experience working with a variety of ETL / ELT tools like Matillion, Talend, Streamsets preferred
  • Strong development background with experience in at least one scripting, object oriented or functional programming language, etc.
  • Python, Java, Scala, C#, R, BASH

  • Experience working with version control tools such as GitHub, Bitbucket
  • Data Warehousing experience, building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
  • Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
  • Desirable Skills :

  • Experience on client-facing projects, including working in close-knit teams
  • Experience working in a cloud architecture with data lake
  • Experience and interest in Big Data technologies (Spark / NoSQL DBs)
  • Experience or familiarity with real-time ingestion and streaming frameworks is a plus
  • A deep personal motivation to always produce outstanding work for your clients and colleagues
  • Excel in team collaboration and working with others from diverse skill-sets and background
  • Experience leading a team and driving them go deliver results
  • Solution delivery
  • Apply
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