Data Engineer Jobs in Attica | Information Technology / IT

40+ open positions from 7 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.

Data ModelingCommon

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

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.

ETLCommon

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

Data Warehousing

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

Azure

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

Git

Proficiency in using Git version control system to manage source code and track changes.

Apache Airflow

Experience with Apache Airflow for programmatic workflow management and scheduling.

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.

PostgreSQL

Experience with PostgreSQL, an open-source relational database management system for data storage and retrieval.

Azure DevOps

Expertise in using Microsoft Azure DevOps services for software development lifecycle management and continuous integration.

Delta Lake

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

Kafka

Knowledge of Apache Kafka, a distributed event streaming platform used for building real-time data pipelines and applications.

SQL Server

Experience with Microsoft SQL Server database management system for data storage, retrieval, and management.

Data Management

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

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.

Mentoring

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

Analytical Skills

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

Analytical Thinking

Ability to systematically break down problems and analyze information to make informed decisions.

Proactivity

Ability to take initiative and act in anticipation of future problems or opportunities.

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

Initiative

Ability to take proactive actions and independently start tasks without being prompted.

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 Science

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

Seniority Distribution

Entry10%
Experienced85%
Manager5%

Experience Requirements

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