(IND) STAFF, Software Engineer

Position Summary...

What you'll do...

About the Team :

Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. 

Our team is responsible for design, development, and operations of large-scale data systems operating at petabytes scale. We focus on creating pipelines, curating and aggregating huge data, distributed spark infrastructure. We interact with multiple teams across the company to provide scalable robust technical solutions.

This role will focus on Data engineering and ETL development. A majority of the transformation logic will be in Databricks. A strong understanding of creating workflow is needed. This role will assist in ETL design leveraging standard Data Warehousing techniques and functional programming techniques.

What you'll do:

• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale
• Develop high performance and scalable solutions that extract, transform, and load Spark/big data.
• Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
• Experience building and optimizing ‘spark/big data’ data pipelines, architectures and data sets involving petabyte and terabyte of data.
• Interact with Walmart 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.
• Closely interact with Data Engineers from within Walmart to identify right open-source tools to deliver product features by performing research, POC/Pilot.
• Engage with Product Management and Business to support and build data solutions and develop expertise w.r.t data thereby being known as the true data analyst.
• You also get to collaborate with team members to develop best practices and client requirements for the software.
• You will show your skills in analyzing and testing programs/products before formal launch to ensure flawless performance.
• Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work.
• You will also be required to seek ways to improve the software and its effectiveness.
• You will be called upon to support the coaching and training of other team members to ensure all employees are confident in the use of software applications.

What you'll bring:

• Bachelor’s or master’s degree in computer science or related technical field.
• Over all 10+ years of object-oriented programming experience in Python.
• 10+ years of experience in building of large-scale data pipelines using big data technologies (i.e., Spark/Kafka/Cassandra/Hadoop/Hive/Presto/Airflow).
•  10+ years of experience in systems design, algorithms, and distributed systems.
• Strong in Azure Data Factory with Databricks, file movement and general transformation
• Good with Azure Databricks with Database and ADLS and GCS
• Good Knowledge on PySpark, Parquet, Python Framework Development
• Good Azure DevOps and its interaction with Databricks and Data Factory
• Good understanding of on-premises big data technology.
• Good knowledge on GBQ or Azure Synapse.
• Good/Strong understanding of ETL & Data Warehousing concepts
• Strong in connecting to and ingesting from multiple source types to Azure ADLS or Google Cloud Storage

Additional Qualifications:

• Large scale distributed systems experience, including scalability and fault tolerance.
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
• Strong computer science fundamentals in data structures and algorithms
• Exposure to information retrieval, statistics, and machine learning.
• Excellent oral and written communication skills.
• Good understanding of metadata driven development
• Excellent problem solving, Critical and Analytical thinking skills.

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.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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 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.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...