Senior Manager I, Data Engineering

Position Summary...
What you'll do...
As a Senior Manager I, Data Engineer you are managing a large global Engineering team building scalable, highly available, enterprise-grade data flows. You will drive the execution of multiple data engineering project that unlocks the potential of data for the business. You will lead and inspire your teams while effectively prioritizing work and maintaining a strong customer focus to create business value while putting processes in-place to ensure successful outcomes. You will find ways to deliver incremental value while solving tactical problems strategically. Quantifying opportunities and measuring the quality, performance, and business impact of our solutions and use data to inform prioritization and operations.
About Team:
Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.
How you'll do:

• Lead a team of Data engineers to design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data.
• Interact with Sams Club engineering teams across geographies to leverage expertise and contribute to the tech community.
• Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.
• Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums.
• Develop and/or Contribute to add features that enable adoption of data across Sam's Club.
• Deploy and monitor products on Cloud platforms.
• Develop and implement best-in-class monitoring processes to enable data applications meet SLAs.
• Guide the team technically for end-to-end solution Lifecyle.

What you'll bring:

• 3 - 5 Years of Experience leading a high performing data engineering team.
• 8 - 10 years of Big data development experience.
• 2 -3 Years of Experience in GCP/Azure cloud platforms.
• 2 -3 years of experience building streaming pipeline using spark streaming or similar.
• Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
• Architect, Design, develop, implement and tune distributed data processing pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
• Exposure to Data Governance ( Data Quality, Metadata Management, Security, etc.).
• Experience with Java, Scala and/or Python to write data pipelines and data processing layers.
• Demonstrates expertise in writing complex, highly-optimized queries across large data sets.
• Proven working expertise with Big Data Technologies Spark Scala/PySpark, and SQL.
• Knowledge and experience in Kafka, Storm, Druid and Presto.

• Architect, Design, develop, implement, and tune distributed data processing pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.

Our Ideal Candidate

• You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision- making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.

About Walmart Global Tech
From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmart's scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.
Flexible, hybrid work
We use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Of course, being together in person is an important part of our culture and shared success. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
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.
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 4 years' experience in software engineering or related field. Option 2: 6 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.
3 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 4 years' experience in software engineering or related field, Supervisory
Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America