Senior Data Engineer - Azure Data Factory and SQL

About the role

UPS is hiring a Senior Data Engineer to develop batch and real-time data pipelines using data analytics processing frameworks, supporting Data Science and Machine Learning practices. The role integrates data from internal and external sources, performs ETL conversions, cleanses and enriches data, and helps build reusable, reproducible data assets. It also supports the Data Science community with feature tuning of analytical models.

Key responsibilities

• Contribute to data engineering projects and build solutions using software development knowledge, programming for statistical modeling, data warehousing and cloud solutions.
• Gather requirements, define project scope, produce data engineering documentation and organize data.
• Analyze data and present findings to stakeholders to support business needs.
• Integrate data for data engineering projects and assist in defining data interconnections between operational and business functions.
• Assist with data engineering maintenance, support, backup and recovery, and POC analysis.
• Help automate data compliance and auditing, and build data APIs so data scientists and BI analysts can query data.

Required profile

• Bachelor's degree in MIS, mathematics, statistics or computer science (international equivalent), or equivalent job experience.
• Understanding of database systems, data warehousing and the data life cycle (collection, transformation, storage, access).
• Ability to scale data platforms for throughput, large volumes, real-time predictions, security and compliance.

Required skills

• Familiarity with cloud platforms such as GCP, Azure or AWS.
• Understanding of ETL tools and ability to load transformed data into databases or BI platforms.
• Basic knowledge of algorithms, data structures, data filtering and optimization.
• Familiarity with analytics reporting tools such as Power BI, Looker or Qlik.
• Knowledge of machine learning algorithms and distributed systems basics.
• Programming in statistical analysis languages such as Python, Java, Scala or C++.