Senior Data Engineer - Azure Data Factory and SQL

Before you apply to a job, select your language preference from the options available at the top right of this page.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description

JOB SUMMARY

This position develops batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices. This position assists in the integration of data from various data sources, both internal and external. This position performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment as well as performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position assists in synthesizing disparate data sources to create reusable and reproducible data assets. This position assists the Data Science community working through analytical model feature tuning.

Responsibilities

• Contributes to data engineering projects and builds solutions by leveraging a foundational knowledge in software / application development, literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines.
• Collaborates effectively, produces data engineering documentation, gathers requirements, organizes data and defines the scope of a project.
• Performs data analysis and presents findings to the stakeholders to support business needs.
• Participates in the integration of data for data engineering projects.
• Understands and utilizes analytic reporting tools and technologies.
• Assists with data engineering maintenance and support.
• Assists in defining the data interconnections between organizations' operational and business functions.
• Assists in backup and recovery and utilizes technology solutions to perform POC analysis.

Qualifications

Requirements :

Employee Type

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills Required

Data Analysis, Machine Learning Algorithms, Data Warehousing, Etl