Junior Data Engineer

Quick Facts

• Role: Junior Data Engineer

• Work model: 100% remote

• Contract: 6-month project with an option to extend

Description

Design, develop, and maintain data processing pipelines using ETL/ELT. Create and optimize SQL queries and Python/Java-based solutions, working with large datasets in Apache Spark and orchestrating workflows with Apache Airflow on Google Cloud Platform (GCP). Monitor, test, and optimize data processing while collaborating on scalable and efficient data engineering solutions.

Responsibilities

• Design, develop, and maintain ETL/ELT data processing workflows

• Write and optimize SQL queries and Python/Java-based solutions

• Process large datasets using Apache Spark

• Develop and maintain data pipelines with Apache Airflow

• Build and evolve data engineering solutions on GCP

• Monitor, test, and optimize data processing pipelines

• Use version control and CI/CD tooling

• Collaborate with the team to deliver scalable, high-performance data solutions

Requirements

• At least 1 year of experience in Data Engineering or a similar position

• Strong SQL skills and ability to code in Python or Java

• Practical experience with Apache Spark

• Experience with Apache Airflow

• Knowledge of Google Cloud Platform (GCP)

• Experience creating and operating ETL/ELT processes

• Knowledge of Git and basic CI/CD practices

• Ability to think analytically and solve problems

• Good English and teamwork skills

Benefits

• Professional growth in an international environment

• Participation in interesting technology projects

• Collaboration with an experienced team of specialists

• Flexible engagement models