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Data Engineer



As a Data Engineer in Endava, you will:

  • Work closely with the Data Analyst/Data Scientist in order to understand evolving needs and define the data processing flow or interactive reports.
  • Discuss with the stakeholders from the other teams in order to have a better understanding about how data flows are used within the existing environment.
  • Propose solutions for the cloud-based architecture and deployment flow.
  • Design and build processes, data transformation and metadata that will meet business requirements and platform needs.
  • Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
  • Be proficient in developing, maintaining, testing, and evaluating big data solution.
  • Focus on the production status and data quality of the data environment.
  • Pioneer initiatives around data quality, integrity, and security.
  • Exhibit strong analytic skills related to working with structured and unstructured data sets.


Qualifications and Experience

  • Experience with building data platforms on cloud (AWS or equivalent).
  • Experience with Java backend development.
  • AWS, Glue, Redshift.
  • Data streaming technologies like Apache Storm, Apache Spark or Apache Kafka.
  • Experience with platforms for data migration to cloud is a plus.
  • Good spoken and written English.


About Endava

Endava is reimagining the relationship between people and technology. For the past 20 years it has helped some of the world’s leading Finance, Insurance, Telecommunications, Media, Technology, and Retail companies accelerate their ability to take advantage of new business models and market opportunities. We have more than 6200 employees located in close to client locations in Denmark, Germany, Netherlands, United Kingdom, United States and nearshore delivery centers in the EU: Romania, Bulgaria; Central European Countries: North Macedonia, Moldova and Serbia; Latin America: Argentina, Colombia, Uruguay and Venezuela.


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