Collaborate with cross-functional teams to build and maintain the data integration solution

Develop, build, and optimize data pipelines using Apache Spark, Microsoft Azure, and Python

Ensure data pipelines are scalable, maintainable, and reliable

Take data science models and make them production ready

Develop and maintain forecasting models to support business decisions

Ensure data quality and consistency across all data sources

Monitor and optimize data pipelines to ensure efficient and effective data processing

Collaborate with data scientists to develop and implement machine learning models

Work with the team to continuously improve and optimize the data integration solution for Fedex

Stay current with emerging technologies and trends in data software engineering

At least 3+ years of experience in data software engineering or similar roles

Expertise in Apache Spark, Microsoft Azure, and Python

Strong knowledge of forecasting models, data science, and MLOps

Experience working with Databricks to build, maintain, and optimize data pipelines

Ability to take data science models and make them production ready

Experience with Git for version control

Understanding of basic Azure concepts including clouds, regions, ADLS, and compute

Strong analytical and problem-solving skills with the ability to think critically and creatively

Experience working in Agile development environments

Excellent English communication skills, both written and verbal (B2+ level)

Experience with Panda for data manipulation and analysis

Strong knowledge of SQL and relational tables

Understanding of statistical models and the ability to develop models utilizing Python, Spark, etc.

Knowledge of ML tools space