Junior Data Engineering Analyst

Description

Job Summary: The candidate will develop and maintain data pipelines, collaborate on automation of data processes, and actively participate in the technical team. Key Highlights: 1. Develop and maintain data pipelines using Databricks and Apache Spark. 2. Collaborate on automating data processes and continuous integration. 3. Support the development of scalable solutions with a focus on data quality. Description: * Bachelor's degree in IT or related field, completed or in progress; * Strong knowledge of data modeling and best practices in data engineering; * Strong proficiency in SQL; * Basic to intermediate knowledge of Databricks and Apache Spark; * Basic to intermediate knowledge of Python for data applications (PySpark, etc.); Preferred Qualifications: * Experience with cloud environments, especially Azure; * Develop and maintain data pipelines using Databricks and Apache Spark; * Write clean and efficient Python code for data manipulation and transformation; * Collaborate on automating data processes and continuous integration using Azure DevOps; * Work with code versioning using Git; * Support the development of scalable solutions focused on data quality; * Participate in code reviews, daily stand-ups, and technical meetings with the team. 2512180202551811399