Data Software Engineer Jobs in Greece | Information Technology / IT
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A Data Software Engineer develops and maintains data infrastructure and software applications that enable efficient data processing and analytics. They work closely with data scientists and engineers to design scalable data pipelines, optimize performance, and ensure data quality. This role is crucial in industries like finance, technology, and healthcare, offering strong growth prospects in data-driven careers.
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Required Skills
Essential skills needed for Data Software 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.
Experience with Microsoft Azure Data Factory for cloud-based data integration and workflow orchestration.
The discipline of designing and building systems for collecting, storing, and analyzing data efficiently.
Knowledge of Continuous Integration and Continuous Deployment workflows for automated software development and delivery.
Knowledge of policies and frameworks for managing data quality, security, and compliance across an organization.
Additional Skills & Traits
Nice-to-have skills and soft skills that can help you stand out
Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.
Expertise in using Microsoft Azure DevOps services for software development lifecycle management and continuous integration.
Knowledge and application of DevOps methodologies to integrate software development and IT operations for faster delivery.
Proficiency in Tableau software for data visualization and business intelligence reporting.
Proficiency in using Git version control system to manage source code and track changes.
Experience with Apache Airflow for programmatic workflow management and scheduling.
Proficiency in Microsoft Power BI for business analytics and data visualization.
A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.
Experience with Apache Spark for large-scale data processing and analytics.
Ability to collaborate effectively with others to achieve common goals.
Ability to convey information clearly and effectively in verbal and written form.
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 guide and motivate a group towards achieving goals effectively.
Ability to adjust effectively to new conditions and changes in the work environment.
Thoroughness in completing tasks with accuracy and precision.
Ability to systematically break down problems and analyze information to make informed decisions.
Enthusiasm and openness to acquiring new knowledge and skills.
Data Software Engineer Jobs - Greece
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Educational Background
Recommended education and qualifications for Data Software 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 numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.
Study of matter, energy, and the fundamental forces of nature.
Study of data collection, analysis, interpretation, and presentation to make informed decisions.
Study of computer-based information systems, including their design, implementation, and management.
No specific academic field required; open to all educational backgrounds.
Study of designing, developing, testing, and maintaining software systems.
Study of techniques and tools for collecting, storing, and organizing data efficiently.
Study of the design, development, and management of information systems and technology solutions in organizations.