Junior Data Engineer: ETL, SQL & Cloud Training

re-zoo-me; Atlanta (GA); Hybrid; USD 65,000 - 95,000; Full time

Job summary

re-zoo-me is seeking a Junior Data Engineer to join our growing data analytics practice, focused on data pipelines, cloud platforms, and big data solutions. This role is ideal for recent graduates and early-career IT professionals who are passionate about data engineering.

Responsibilities include designing and maintaining ETL workflows, loading data into enterprise platforms, and collaborating with data scientists and engineers to deliver data-driven solutions.

Qualifications

• Bachelor's degree in a technical field.
• 1–4 years of professional software development or data engineering experience.
• Strong programming skills in Python, Java, Scala, or SQL.
• Understanding of relational databases and data modeling.
• Familiarity with cloud platforms (AWS/Azure/GCP) is a plus.
• Experience with Spark, Hadoop, Kafka, or similar big data tech is preferred.
• Willingness to relocate to Atlanta, GA for training and client work.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Collect, transform, and load data from multiple sources into data platforms.
• Write efficient SQL queries for data extraction and analysis.
• Assist in building data warehouses and cloud-based data solutions.
• Support data quality, governance, and data integration initiatives.
• Collaborate with data scientists, analysts, and engineers to deliver data-driven solutions.
• Monitor pipelines, troubleshoot issues, and optimize performance.
• Follow Agile development practices and use version control.

Skills

Python

Java

Scala

SQL

Cloud

Git

Big data

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Spark/Hadoop

Airflow

Job description

re-zoo-me is seeking a Junior Data Engineer to join our growing data analytics practice, focused on data pipelines, cloud platforms, and big data solutions. This role is ideal for recent graduates and early-career IT professionals who are passionate about data engineering.

Responsibilities include designing and maintaining ETL workflows, loading data into enterprise platforms, and collaborating with data scientists and engineers to deliver data-driven solutions.