Founded in 1991 and headquartered in Lexington, Kentucky, Lexmark is recognized as a global leader in print hardware, service, software solutions and security by many of the technology industry's leading market analyst firms. Lexmark creates cloud-enabled imaging and IoT solutions that help customers in more than 170 countries worldwide quickly realize business outcomes. Lexmark's digital transformation objectives accelerate business transformation, turning information into insights, data into decisions, and analytics into action.

Come build community, explore your passions, and do your best work at Lexmark with talented team across the globe.This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead.

As a Data Engineer Intern, you will have the opportunity to establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Uses knowledge of project objectives, business needs, and distributed data systems such as Azure Databricks to develop technical tools and programming, big-data techniques to cleanse, organize and transform data and to maintain, detect, defend, clean, and update data structures and integrity on an automated basis.

In alignment with our Lexmark enterprise data team values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

At Lexmark, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions, and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

Responsibilities:

• With detailed instructions, you'll implement basic code to extract raw data, validate its quality, and ensure the correct data is ingested within your area of work. You'll also apply basic modification techniques to transform raw data into forms compatible with downstream data sources.

• With guidance from others, you'll contribute to the development of data tools that can transform, manage, and access data. You'll also validate code to test the storage and availability of data platforms so that they're more resilient.

• You will contribute to performance monitoring protocols across a data pipeline, supporting existing visualizations and aggregations to ensure pipeline performance. You'll assist others in implementing solutions that minimize points of failure and help test improvements across a product feature.

• You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You'll also learn about permissions and approvals for data access within a data pipeline.

Core Technical Skills Requirement:

• Strong programming experience in SQL and Python

• Understanding & familiarity with Azure Databricks/Spark.

• Understanding & familiarity with Azure Data Factory.

• Understanding & familiarity with Databricks Data lake house.

• Good Communication and Documentation abilities.