Data Engineer Jobs in Greece | Information Technology / IT
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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
Proficiency in Structured Query Language for managing and querying relational databases.
Proficiency in Python programming language for software development, automation, and data analysis.
Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.
The process of creating data structures to represent and organize data effectively in databases or information systems.
Proficiency with PySpark, the Python API for Apache Spark for big data processing and analytics.
Expertise in Extract, Transform, Load processes for data integration and processing.
Microsoft Azure is a cloud computing platform for building, deploying, and managing applications and services.
Knowledge of Extract, Transform, Load and Extract, Load, Transform data integration processes used in data warehousing.
Experience with Apache Airflow for programmatic workflow management and scheduling.
The process of collecting, storing, and managing large volumes of data from various sources for analysis and reporting.
Additional Skills & Traits
Nice-to-have skills and soft skills that can help you stand out
Proficiency in Microsoft Power BI for business analytics and data visualization.
Expertise in using Microsoft Azure DevOps services for software development lifecycle management and continuous integration.
Proficiency in Tableau software for data visualization and business intelligence reporting.
Experience with Microsoft Azure Data Factory for cloud-based data integration and workflow orchestration.
A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.
Knowledge of Apache Kafka, a distributed event streaming platform used for building real-time data pipelines and applications.
Knowledge of Continuous Integration and Continuous Deployment workflows for automated software development and delivery.
Experience with PostgreSQL, an open-source relational database management system for data storage and retrieval.
Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.
Ability to develop algorithms and statistical models that enable computers to learn from and make predictions based on data.
Ability to convey information clearly and effectively in verbal and written form.
Ability to collaborate effectively with others to achieve common goals.
Ability to identify issues and develop effective solutions efficiently.
Ability to assess information and situations logically to make informed decisions.
Ability to guide and support others to develop their skills and achieve their goals.
Ability to take proactive actions and independently start tasks without being prompted.
Enthusiasm and openness to acquiring new knowledge and skills.
Ability to take initiative and act in anticipation of future problems or opportunities.
Ability to systematically break down problems and analyze information to make informed decisions.
Ability to guide and motivate a group towards achieving goals effectively.
Data Engineer Jobs - Greece
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Educational Background
Recommended education and qualifications for Data Engineer positions
Study of computational systems, programming, algorithms, and software development.
Study of applying scientific principles to design, build, and maintain structures and machines.
Study of computer-based information systems, including their design, implementation, and management.
No specific academic field required; open to all educational backgrounds.
Study of techniques and tools for collecting, storing, and organizing data efficiently.
Study of methods to analyze, interpret, and extract knowledge from data using statistical and computational techniques.
Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.
Study of designing, developing, testing, and maintaining software systems.
Study of matter, energy, and the fundamental forces of nature.
Study of data collection, analysis, interpretation, and presentation to make informed decisions.