ANALYST, SR PROGRAMMER

Overview

Job Description The Data & Cloud Engineer (hybrid position) will collaborate with AD / AZ IT Operation and data scientists / analytics experts and BI professionals. The Data & Cloud Engineer will support our data science software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects in an Agile environment.

Responsibilities

The Sr. Data & Cloud Engineer will be responsible for expanding and optimizing our data and data pipeline architectures, optimizing data collection and data flow into the Google Cloud Platform, and provide exceptional technical guidance and support throughout our adoption of Google Cloud Platform (GCP) services in migrating, building, modernizing, and maintaining cloud applications. The ideal candidate is an experienced data pipeline builder, a data wrangler who enjoys optimizing data systems and building them from the ground up, and a continuous improvement engineering always seeking a better way to deliver services. As the title implies, this is a multifaceted role involving the following responsibilities :

• Architecture design

Design both data platforms and Cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives

In the first place, your role as a data engineer is that of a developer. You will use your programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems, employing an array of technological languages and tools to connect systems together

During the development phase, you will, in collaboration with the data science and testing teams, test the reliability and performance of each part of a system

Responsible for monitoring the overall performance and stability of the data pipeline system(s) to ensure the uninterrupted flow of data from internal / external systems into the Datawarehouse, including the automated parts of a pipeline, and modify as data / models / requirements will change

Implement Analytics and Machine Learning models designed and deploy into production on-premise and Cloud environments. This will also entail providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.

Play a key role in the integrity of data whether from the Datawarehouse or from Data Governance or Master Data Management initiatives.

Responsible for setting up, configuring and maintaining BI, Datawarehousing and ML tools used by the team

Other Responsibilities Will Include

Education Or Experience

UML, Hadoop, Snowflake, SOLR

Familiar with various reporting tools & environments (like Domo, SSRS, & others)

About Us

AutoZone de México is the leading retailer and distributor of automotive parts and accessories in the Americas. In Mexico, there are more than 800 stores; two distribution centers; one Store Support Center, the Centro de Apoyo a Tiendas (CAT) is located in Monterrey, México,; one Business and Technology Store Support Center (BTSSC) located in Chihuahua more than 16,000 AutoZoners nationwide.

Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork and growth. Whether you\'re helping customers or building your career, we provide tools and support to help you succeed and drive your future.

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.

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