Position Summary...

　　What you'll do...

　　What you'll do...

　　As part of the Intelligent Tech Data Pipeline team, you will partner collaboratively with business and technical stakeholders to maintain the organization's data, ensure polices, processes, and standards are adhered to so that consistent and trusted data drives business initiatives and powers data driven decision making in a reliable, repeatable, and scalable way. Ensure data pipeline is compliant, secure, discoverable, traceable, and of high quality.

　　Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance; accordingly, developing contingency plans; and demonstrating adaptability and supporting continuous learning.

　　Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application and ensuring compliance with them.

　　Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness.

　　 About Team:

　　Our team owns interfaces that allow in-store and edge solutions to send data into a centralized data store, where it can be used by the business to reduce cost, customer friction, and make better business decisions.

　　 What you'll do:

　　Supporting and driving long-term and short-term strategies for achieving business outcomes, especially in Data Engineering Space. Partnering with cross-functional teams to identify business problems and opportunities.Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.Collaborating with engineering and product teams to deploy data engineering solutions in Google and Azure clouds.Communicating effectively to all levels of the organization, including executives.Guiding and mentoring junior associates on Technical and Non-Technical aspects in the Data Engineering Space.Good to have experience applying and integrating with sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.

　　You will be responsible for analyzing, designing, coding, testing and deployment of technical solutions to follow Data Engineering requirements,

　　Data QualityData Access controlData Classification etc.

　　 What you'll bring:

　　Highly proficient coding in one or more languages: Java, C++, Python, Spark, Scala, Go or R.Highly experienced in Spark and Distributed computing frameworks.Highly experience in programming design patterns.Highly proficient with CI/CD tool like Git, Looper, Jenkins etc. and workflow orchestration tools like Airflow/ Automic etc.Expertise in designing, developing and deploying big data applications in Google Cloud Platform.Proven advanced development experience in leading data-driven projects from design to execution, driving and influencing project roadmaps.Deep expertise in writing and debugging complex SQL queries.Strong written, oral communication and presentation skillsProblem solving skills / Abstract thinking - ability to understand a real-life problem, make the right judgement of problem statement, and give a feasible design of solution.Experience in interacting with business stakeholders and effectively drive conversations.Data Modeling knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.

　　 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 2 years' experience in software engineering or related field. Option 2: 4 years' experience in

　　software engineering or related field. Option 3: Master's degree in Computer Science.

　　 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, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field

　　 Primary Location...

　　350 N SAINT PAUL ST, DALLAS, TX 75201-4240, United States of America