Data Engineer
ΧΡΥΣΗ ΕΥΚΑΙΡΙΑ ΑΕ
Athina, Αττική-Αθήνα, GR
πριν από 2 μέρες
source : Kariera

Xrysi Eukairia is the leading classified ads company in Greece, specializing in the Real Estate, Jobs, Auto-Moto and Business sectors.

More than 1.5 million people in Greece browse Xrysi Eukairia every month.

Our ambition in Xrysi Eukairia is to create a unique environment that will help people effortlessly match supply and demand.

Whether it be in real estate, jobs, auto / moto or any of the hundred other categories we support, our goal is to offer an efficient marketplace that promotes such transactions.

Under new leadership and with

focus

on customer satisfaction, we are looking for people to join our Engineering department in order to help achieve these goals.

About the job opportunity

This is a technical role but liaison with various teams will occasionally be required. Data is one of the things we have lots of - in a number of formats and systems.

You will spearhead the effort to understand where data is, who needs access to it in order to accomplish their goals and build a data pipeline that will be used to streamline data to information and make it available to the systems and people that need it.

Daily monitoring of the data pipeline and the occasional problem solving when things break will be part of this job.

What Will I Be Doing?

As a Data Engineer you will :

  • Create and maintain optimal data pipeline infrastructure. Troubleshoot technical related issues at all levels of the data infrastructure.
  • Work with stakeholders including the Executive, Product and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data’ technologies.
  • Our migration towards the cloud is not complete but is underway.

  • Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Perform technology and product research to better define requirements and improve the overall capability of our stack.
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