Data Software Engineer Jobs in Attica | 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 Python programming language for software development, automation, and data analysis.
Proficiency in Structured Query Language for managing and querying relational databases.
The process of creating data structures to represent and organize data effectively in databases or information systems.
The discipline of designing and building systems for collecting, storing, and analyzing data efficiently.
Proficiency with PySpark, the Python API for Apache Spark for big data processing and analytics.
Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.
Experience with Microsoft Azure Data Factory for cloud-based data integration and workflow orchestration.
Expertise in Extract, Transform, Load processes for data integration and processing.
Knowledge of policies and frameworks for managing data quality, security, and compliance across an organization.
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
Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.
Proficiency in Tableau software for data visualization and business intelligence reporting.
Proficiency with the Linux operating system, including command line usage and system administration.
The ability to generate original ideas and innovative solutions.
Microsoft Azure is a cloud computing platform for building, deploying, and managing applications and services.
Experience with PostgreSQL, an open-source relational database management system for data storage and retrieval.
Proficiency in Microsoft Power BI for business analytics and data visualization.
The process of collecting, storing, and using data securely and efficiently.
Experience with Apache Airflow for programmatic workflow management and scheduling.
Experience with SAP enterprise resource planning software used for business operations and management.
Ability to collaborate effectively with others to achieve common goals.
Ability to convey information clearly and effectively in verbal and written form.
Ability to guide and support others to develop their skills and achieve their goals.
Ability to systematically break down problems and analyze information to make informed decisions.
Ability to identify issues and develop effective solutions efficiently.
Ability to guide and motivate a group towards achieving goals effectively.
Ability to drive oneself to take initiative and persistently pursue goals without external prompting.
Ability to adjust effectively to new conditions and changes in the work environment.
Commitment to constantly acquiring new knowledge and skills to improve oneself.
Focus on achieving goals efficiently and prioritizing outcomes.
Data Software Engineer Jobs - Attica
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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 computer-based information systems, including their design, implementation, and management.
No specific academic field required; open to all educational backgrounds.
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 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 data collection, analysis, interpretation, and presentation to make informed decisions.
Study of the design, development, and management of information systems and technology solutions in organizations.