We are looking for a Junior to Semi-Senior PySpark Data Engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. This role is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team.

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

Veeva is seeking a collaborative expert in data pipelines, ETL tools, and warehousing to create high-quality solutions to complex problems around data acquisition and integration into existing systems and datasets. This role involves designing data pipelines, working with data scientists, creating documentation, and providing guidance to junior engineers in a fast-paced environment.

Work cross-functionally to ensure data scientists have access to clean, reliable, and secure data. Build, deploy, and orchestrate large-scale batch and stream data pipelines to transform and move data to/from our data warehouse and other systems. Deliver scalable, testable, maintainable, and high-quality code; investigate, test-for, monitor, and alert on inconsistencies in our data and data systems.

As a Databricks Data Developer at CI&T, you will develop and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for clients. You'll design data ingestion processes, optimize data workflows, and collaborate with data scientists. Responsibilities include monitoring data pipelines, contributing to architecture discussions, and staying updated with industry trends.

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing and developing data pipelines, collaborating with data architects, and ensuring data quality and governance. You will also monitor and optimize performance and provide mentorship.