(USA) Senior Data Engineer
Position SummaryWhat you'll doAbout Leverage AI Leverage AI is all about using AI-based solutions to solve Walmart business problems.
Since w e are a member of the Enterprise Business Services unit of Walmart , our solutions power the core systems that Walmart is built on to solve not only today's problems, but tomorrow's.
About the Role Leverage AI builds AI-infused software applications for use within back-office services at Walmart.
Our team's mission is to rapidly drive productivity and value by seamlessly bringing the power of an AI suite of products that is natively built to handle Walmart's scale.
As a Senior Data Engineer, you will lead the creation of data-based systems that create the data products that allow our applications and data scientists to deliver key insights to the Walmart business.
What you'll do Lead the creation of data pipelines in both on premise systems and in Google Cloud Platform and comply with security standard and privacy policy Work with application engineers and data scientists to define the requirements for the data products that the team creates Develop and maintain data schemas and dictionaries; defines metadata Build data system and data quality monitoring process and ensure health of the big data system Debug and maintain data pipelines Develop data APIs to support analytics and data science products What you'll bring:
Bachelor s degree in Computer Science and 4 years experience in software engineering or related field OR 6 years experience in software engineering or related field.
A plus if you have :
Master ' s degree in Computer Science or related field and 3 years' experience in software engineering or related field.
E xperience with Google Cloud Platform , especially DataProc and Google Cloud S torage E xperience with the Spark eco system Experience with Apache Airflow Experience with Shell scripting and Linux operating system Experience with Python and Javascript /Node.
js About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no minimum qualifications.
Option 1:
Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field.
Option 2:
5 years' experience insoftware engineering or related field.
Option 3:
Master's degree in Computer Science and 1 year's experience in software engineering or relatedfield.
2 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications Outlined below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering Primary Location 603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America Recommended Skills Api Airflow Apache Http Server Apache Spark Artificial Intelligence Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
Since w e are a member of the Enterprise Business Services unit of Walmart , our solutions power the core systems that Walmart is built on to solve not only today's problems, but tomorrow's.
About the Role Leverage AI builds AI-infused software applications for use within back-office services at Walmart.
Our team's mission is to rapidly drive productivity and value by seamlessly bringing the power of an AI suite of products that is natively built to handle Walmart's scale.
As a Senior Data Engineer, you will lead the creation of data-based systems that create the data products that allow our applications and data scientists to deliver key insights to the Walmart business.
What you'll do Lead the creation of data pipelines in both on premise systems and in Google Cloud Platform and comply with security standard and privacy policy Work with application engineers and data scientists to define the requirements for the data products that the team creates Develop and maintain data schemas and dictionaries; defines metadata Build data system and data quality monitoring process and ensure health of the big data system Debug and maintain data pipelines Develop data APIs to support analytics and data science products What you'll bring:
Bachelor s degree in Computer Science and 4 years experience in software engineering or related field OR 6 years experience in software engineering or related field.
A plus if you have :
Master ' s degree in Computer Science or related field and 3 years' experience in software engineering or related field.
E xperience with Google Cloud Platform , especially DataProc and Google Cloud S torage E xperience with the Spark eco system Experience with Apache Airflow Experience with Shell scripting and Linux operating system Experience with Python and Javascript /Node.
js About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no minimum qualifications.
Option 1:
Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field.
Option 2:
5 years' experience insoftware engineering or related field.
Option 3:
Master's degree in Computer Science and 1 year's experience in software engineering or relatedfield.
2 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications Outlined below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering Primary Location 603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America Recommended Skills Api Airflow Apache Http Server Apache Spark Artificial Intelligence Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
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