Data Engineer Jobs in Attica | Information Technology / IT

30+ open positions from 6 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

SQLVery Common

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

PythonVery Common

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

DatabricksCommon

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

PySparkCommon

Proficiency with PySpark, the Python API for Apache Spark for big data processing and analytics.

Data ModelingCommon

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

Data GovernanceCommon

Knowledge of policies and frameworks for managing data quality, security, and compliance across an organization.

Data EngineeringCommon

The discipline of designing and building systems for collecting, storing, and analyzing data efficiently.

ETLCommon

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

CI/CD

Knowledge of Continuous Integration and Continuous Deployment workflows for automated software development and delivery.

Data Warehousing

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

Power BI

Proficiency in Microsoft Power BI for business analytics and data visualization.

Tableau

Proficiency in Tableau software for data visualization and business intelligence reporting.

Delta Lake

An open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

Docker and Kubernetes

Proficiency in containerization technologies Docker and Kubernetes for application deployment and management.

Business Intelligence

The ability to collect, analyze, and present business data to support decision-making.

Azure

Microsoft Azure is a cloud computing platform for building, deploying, and managing applications and services.

Infrastructure as Code

The practice of managing and provisioning computing infrastructure through machine-readable configuration files, rather than physical hardware configuration or interactive configuration tools.

Data Science

The discipline of extracting insights and knowledge from structured and unstructured data using scientific methods and algorithms.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Communication

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

Analytical Skills

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

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.

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

Accountability

Taking responsibility for one's actions and their outcomes in a reliable manner.

Adaptability

Ability to adjust effectively to new conditions and changes in the work environment.

Leadership

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

Educational Background

Recommended education and qualifications for Data Engineer positions

Computer Science

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

Engineering

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

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.

Data Management

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

Data Engineering

Study of designing, building, and managing data systems and infrastructure for analysis and processing.

Data Science

Study of methods to analyze, interpret, and extract knowledge from data using statistical and computational techniques.

Information Management

Study of strategies and systems for collecting, managing, and utilizing information effectively.

Mathematics

Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.

Seniority Distribution

Entry17%
Experienced78%
Manager6%

Experience Requirements

Average experience: 3.5 years
0-2 years25%
3-5 years62%
6-10 years13%