ABOUT COMPANY

GoDaddy powers the world's largest cloud platform dedicated to small, independent ventures. With 19 million customers worldwide, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company visit www.GoDaddy.com.

At present, with a workforce of approximately 200 individuals, GoDaddy Services in Romania is in full upsurge and progressively defining its profile as a

Intern - Data Platform Quality Engineer
Paid internship at GoDaddy EMEA · Starts after academic term
City:
  • room Iași

As a Data Platform Quality Engineer you will be involved into EMEA Data Platform development, data ingest and integration with GoDaddy Global DWH. You will be involved into data governance process including ETL (Extract / Transform / Load), Data Quality Control, reporting, platform development / integration and end to end testing. You should have good exposure and understanding on working with databases (both sql and noSQL) and dig into the platform components (data streaming, queues, APIs, metrics and monitoring). You should be enthusiastic about experimenting and learning new technologies with focus on big data. Good communication skills are required. Analytical skills is a plus. In this role you will be part of a team of engineers to develop, test and consolidate EMEA Data Platform (RTF and Analytics).

Responsibilities

  • Work with engineers and product analysts to facilitate the transition of data into consolidated format to the new platform.
  • Support platform quality and stability by increasing and maintaining end to end integration tests.
  • Adhere and promote quality standards.
  • Perform data validation, reporting and verification.
  • Communicate the data quality results and collaborate closely with other teams involved in the development process.
  • Analyse, troubleshoot and document issues, helping project teams to identify the root causes and resolutions.
  • Support business inquiries on data quality issues and data consumption.
  • Learn to work on CI/CD pipelines and automation.
  • Regulary update documentation.

Requirements

  • Good exposure to data modeling, ETL, data query (eg: mysql scripting ) and optimization.
  • Knowledge of a programming or scripting language(preferred: Java).
  • Working with REST API.
  • Comfortable using GIT.