Data Engineer Jobs in Νομός Θεσσαλονίκης | Information Technology / IT

4 open positions from 1 companies

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About Data Engineer Jobs

A Data Engineer builds and maintains the pipelines, models and platforms that move and prepare data for analysis and applications.

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Required Skills

Essential skills needed for Data Engineer positions

SQLEssential

Proficiency in Structured Query Language for managing and querying relational databases.

DatabricksEssential

Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.

PythonEssential

Proficiency in Python programming language for software development, automation, and data analysis.

ETLCommon

Expertise in Extract, Transform, Load processes for data integration and processing.

AWS S3Common

Proficiency in using Amazon Web Services Simple Storage Service (S3) for scalable cloud storage solutions.

Data VisualizationCommon

Ability to represent data visually using charts, graphs, and dashboards to facilitate understanding.

Data ModelingCommon

The process of creating data structures to represent and organize data effectively in databases or information systems.

Data WarehousingCommon

The process of collecting, storing, and managing large volumes of data from various sources for analysis and reporting.

Data ManagementCommon

The process of collecting, storing, and using data securely and efficiently.

Project ManagementCommon

Ability to plan, organize, and manage resources to achieve project goals and meet deadlines.

Additional Skills & Traits

Nice-to-have skills and soft skills that can help you stand out

Containerization and Orchestration

Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.

AWS Glue

A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.

Azure Data Factory

Experience with Microsoft Azure Data Factory for cloud-based data integration and workflow orchestration.

Microsoft Fabric

Expertise in Microsoft Fabric, a data integration and analytics platform for unified data management.

Communication

Ability to convey information clearly and effectively in verbal and written form.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Leadership

Ability to guide and motivate a group towards achieving goals effectively.

Analytical Skills

Ability to assess information and situations logically to make informed decisions.

Willingness to Learn

Enthusiasm and openness to acquiring new knowledge and skills.

Innovation

Ability to generate and implement new ideas, approaches, or solutions to improve processes or products.

Continuous Learning

Commitment to constantly acquiring new knowledge and skills to improve oneself.

Mentoring

Ability to guide and support others to develop their skills and achieve their goals.

Educational Background

Recommended education and qualifications for Data Engineer positions

Computer Science

Study of computational systems, programming, algorithms, and software development.

Information Systems

Study of computer-based information systems, including their design, implementation, and management.

Any Field

No specific academic field required; open to all educational backgrounds.

Engineering

Study of applying scientific principles to design, build, and maintain structures and machines.

Data Management

Study of techniques and tools for collecting, storing, and organizing data efficiently.

Seniority Distribution

Experienced50%
Manager50%

Experience Requirements

Average experience: 4 years
0-2 years50%
6-10 years50%