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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 and analytics. 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 requires strong capability to build data assets for analytics and 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:

Understanding of database systems and data warehousing solutions.

Understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility

Understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, insights and customer feedback, data security, data regulations, and compliance.

Contributes to the following: Building a data platform, ensuring data is secure in motion and at rest, automating data compliance and auditing, data warehousing solutions for scalable analytics.

Basic knowledge of algorithms and data structures to assist in understanding the big picture of the organization's overall data function. Knowledge in data filtering and data optimization.

Familiarity with a Cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Knowledge of Google Cloud Technologies is preferred.

Understanding ETL tools capabilities. Ability to pull data from various sources, perform a load of the transformed data into a database or business intelligence platform.

Familiarity with Machine learning algorithms which help data scientists make predictions based on current and historical data.

Knowledge of algorithms and data structures with the ability to organize the data for reporting, analytics, and data mining and perform data filtering and data optimization.

Ability to build data APIs to enable data scientists and business intelligence analysts to query the data.

Strong knowledge of SQL and ability to code using programming language used for statistical analysis and modeling such as Python/Java/C++.

Understanding the basics of distributed systems.

A Bachelor's degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience.

Employee Type:

Permanent

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

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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