Resumo da vaga

Senior Data Eng- UK

Requisitos e responsabilidades

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Key Responsibility:

  • You will be assigned a portfolio of project to:
  • Engage with clients to conceptualize data solutions
  • Modernizing existing data environment
  • Assisting our sales team with Pre-Sales and POC's
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft, Azure, AWS, GCP, technologies etc. .
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Assists support desk where applicable

Who do you need to be:

  • Minimum 5 years of working experience in data engineering.
  • 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 optimizing data pipelines, architectures, and data structures utilizing Microsoft technologies.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Familiarity with data visualization in Microsoft Power BI.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Familiarity with Finance concepts and data is advantageous

Technical skills:

  • Power BI or Qlik or Tableau or SAC SQL
  • Azure
  • Python
  • Fabric or Databricks (Lakehouse preferably) or SAP datasphere
  • LLM & Python
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FocoSenior Data EngineerÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAWS, Azure, GCPSkills principais
Localização1 país aceitoElegibilidade

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