Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Team: 
Enterprise Business Services - People Tech - People.Data 

This position is in the data engineering team of People.Data under the Enterprise Business Services – People Tech organisation. The objective of the People tech organization is to build the best-in-class engineering, analytics and data science solutions that power the best experience for our people, adhering to the Walmart philosophy - Everyday Low Cost. 

What you'll do:

People Data team is responsible to build and maintain People Data Lake platform and other analytical products to democratize access to People/HR data , enabling tech teams and business users across Walmart with relevant, complete, accurate and timely data by streamlining acquisition, curation and consumption of data from various HR systems . Our Team also builds and supports multiple use-cases on top of the Data lake platform that focus on embedding analytical capabilities and recommendations into the organisation’s decision-making processes and workflows thereby increasing both the accessibility and actionability of people analytics.
 

You will have numerous opportunities to collaborate with  

• Product managers to design user journeys, feedback loop and analyse user telemetry.  
• Data architects to design, architect, and build resilient , scalable , maintainable  distributed data pipelines. 
• Platform Product managers to develop technology strategies to advance our data management practices and stay abreast of the industry trends. 
• Data Scientists and Machine learning engineers to help deploy, operate, and optimise scalable AL/ML solutions 
• Technical Program Managers in developing and executing technical business programs of strategic importance to Walmart people data. 

What you'll bring:

• Data Engineering , Cloud, Big Data Skills, Spark, Airflow. Python, Scala 
• Expertise in Big Data Ecosystem tools : Hadoop, Hive, Apache Spark, Kafka, Druid, NoSQL DB’s etc. 
• Experience Building Batch ETL distributed data pipelines - with expertise in  Hive/SQL, Apache Spark (Scala) or PySpark 
• Experience in building Streaming data pipelines with Kafka, Spark Streaming etc. 
• Experience working with Open-source frameworks that manages the storage of large datasets on distributed file systems (Apache Hudi,Deltalake) 
• Experience working with Data Orchestration/workflow management tools such as Airflow 
• Solid Cloud Development experience (on GCP or Azure) 
• Proven experience in building Data quality frameworks and working with Data Governance solutions. 
• Knowledge of Data Warehousing and Data Engineering best practices with experience implementing CI/CD, Log aggregation/Monitoring/alerting automations for production system. 
   

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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, 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.

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 in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 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.

Primary Location...

Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India