HEB Jobs San Antonio, Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructures for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.
Data engineers generally have a bachelor’s degree in computer science, information technology, or applied math, as well as a few data engineering certifications like IBM Certified Data Engineer or Google’s Certified Professional. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.
|Post Name||Data Engineer|
|Employment Type||Full Time|
|Work Hours||8 Hours|
|Salary||USD 50 To USD 60 Per Hour|
|Location||San Antonio, Texas, United States 78204|
At H-E-B, we believe grocery shopping is more than an errand. That’s why it’s our pledge to always go above and beyond. Here, we think like the customer, not about the customer. People matter. Here, people are at the heart of every decision made and everything we do – no store cares more. Competition drives us, but collaboration defines us. A shared spirit drives us to work together and build a company that doesn’t just meet the Customer’s needs, it exceeds them.
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We make it a priority to get involved and make a difference in the lives of our friends and neighbors. We’re committed to protecting and providing the best Texas has to offer. Our facilities are designed to save energy and reuse materials, we’re reducing harmful pollutants and conserving natural resources, and we’ve been recognized as one of the best in the U.S. for safety and emission reductions.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Skills & Requirements
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Becoming a data engineer is a great career choice for people who love detail,
- Following engineering guidelines,
- Building pipelines that allow raw data to be turned into actionable insights.
- As mentioned earlier.
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