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Data Engineer (1091)See all recent Jobs

Overview

Experience: Mid

Skills: Bachelor’s degree in Computer Science, Information Systems Engineering and any other relevant fiel,  3+ years of experience, experience in advanced SQL and Python language syntax, knowledge of complex data flows through dedicated Integration tools like Azure Data Factory, Databricks or SSIS,   experience in cloud technologies (Microsoft Azure or AWS), experience in IBM Data tools such as Netezza, DB Stage, experience in IBM Cloud Pak for Data

Reference Number: UPC1091

Marker Athens, Greece, Hybrid Marker

We are looking for an experienced Data Engineer to join our team on behalf of one of our major clients.

As a Data Engineer you will be working closely with a talented team of data engineers, visualization experts and app developers to solve important and challenging problems for clients and internal teams within Greece and abroad.

 

 

Responsibilities:

  • Interpret business requirements into data innovating solutions
  • Interpret written business requirements into technical specification documents
  • Analyze source data, understanding relationships, hierarchies, groups, trends etc.
  • Decide the solution’s architecture and select the right components
  • Design the architecture of the ETL/ELT jobs by utilizing and combining available components and tools
  • Implement and optimize a Data Model
  • Build and execute ELT/ETL Pipelines
  • Document and communicate your findings as well as training colleagues and clients alike with best practices in your field

 

Requirements:

  • Bachelor’s degree in Computer Science, Information Systems Engineering and any other relevant field
  • Minimum 3 years proven experience in this field is a must
  • Experience in advanced SQL and Python language syntax
  • Knowledge of complex data flows through dedicated Integration tools like Azure Data Factory, Databricks or SSIS is required
  • Experience in cloud technologies (Microsoft Azure or AWS) is preferred
  • Experience in IBM Data tools such as Netezza, DB Stage will be considered a plus
  • Experience in IBM Cloud Pak for Data will be considered a plus
  • Experience in working with large data sets will be considered a plus
  • Familiarity with logical and conceptual data models
  • Familiarity with Banking or Energy Sector will be considered a plus
  • Azure Data Engineer certificate (or equivalent) will be considered a plus
  • Azure Solution Architect (or equivalent) will be considered a plus
  • Experience with MS Fabric and Power BI will be considered a plus

 

What we offer:

  • Hybrid working model
  • Private health insurance
  • Unlimited access to a wellness workplace support platform
  • Continuous learning, professional growth, and career development
  • Opportunity to work with cutting-edge technologies
  • A dynamic and collaborative work environment

 

Who We Are:

UpcoMinds is a dynamic IT company with 28 years of experience that provides end-to-end web and mobile solutions helping businesses to reinvent themselves in the digital world. Our team’s skills and expertise will ensure the holistic digital transformation of any organization, which will considerably improve both business operations and customer’s experience.

Our goal is to always have our end products and services reflect our deep engineering skills and elegant progressive design aesthetic. We fundamentally believe deeply in developing long term strategic partnerships with our clients by exceeding expectations and maintaining a high level of transparency.

Find out more about us at www.upcominds.com

We commit to promote Inclusion & Diversity by creating a working environment where all employees are treated with dignity and respect and where individual differences are valued. We offer equal opportunity in all aspects of employment.

Our recruitment consultants will go through your Curriculum Vitae as soon as possible and get back to you to discuss the opportunity for which you apply. If you don’t hear from us in the coming ten (10) working days, you may consider that you have not been selected for the particular job.

 

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