(CAN) GT - Senior Software Developer

Walmart • Full-time • Canada, Canada • 8m ago

Position Summary...

The AdTech M&R data team is responsible to deliver reporting and measurement for Advertisers to analyze and optimize campaigns. We are a team of data developers whose strengths are: (1) building scalable data pipelines (2) exposure to machine learning techniques and data science (3) making sense of broadly defined problems through data analysis.

What you'll do...

Lead and Participate in small to large sized projects by reviewing project requirements into technical solutions; gather requested information (for example, design documents, product requirements, wire frames); write and develop code; conduct unit testing; communicate status and issues to team members and stakeholders; collaborate with project team and cross functional teams; troubleshoot open issues and bug-fixes; and ensure on-time delivery and hand-offs.
Leads the work of other small groups of four to six developers, including offshore associates, for assigned projects by providing pertinent documents, direction, and examples; identifying short and long term solutions and timeline; reviewing and providing feedback for proposed solutions; and performing design and code reviews of changes.
Build data systems that ingest, model, and analyze massive flow of data from online and offline user activities, processing hundreds of millions of sales and impressions data to obtain insights and analytics related to advertising campaign performance.
Develop big data applications for precise audience targeting and cutting-edge measurement for campaign reporting, leveraging the wealth of data within the Walmart ecosystem.
Set up ETL jobs in Jenkins or Airflow to move large volume of distributed data from various sources to secondary data centers for business continuity and disaster recovery.
Troubleshoot business and production issues by gathering information (issue, impact, criticality, possible root cause), engage support teams to assist in resolution of issues, formulate an action plan, performing actions as designated in plan, interpret the results to determine further action, and complete online documentation.
Develop complex software features to streamline and scale batch jobs to support advertising propensity models.
Design, develop, and maintain software for the targeting and reporting data pipelines in Spark, Hadoop and Map-Reduce.
Develop software using object-oriented languages such as Scala and Java. Implement advertising measurement systems that leverage machine learning and statistical techniques.
Apply regression and classification machine learning methods in developing measurement products.
Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing.
Perform advanced data investigations using SQL and Spark or Hive.
Design and develop systems and methods for ensuring quality for large data pipelines and guide the product through all stages of user acceptance process.

What you'll bring:

PhD or the equivalent in Computer Science, Engineering (Any), or related field; OR Master’s degree or the equivalent in Computer Science, Engineering (any), or related field and 5 years of software development experience; OR Bachelor’s degree or the equivalent in Computer Science, Engineering (Any), or related field and 7 years of software development experience
Experience programming in an object-oriented language (Java or Scala).
Experience using Hadoop and Map Reduce in batch jobs to process large scale data.
Experience in creating and maintaining data processing workflows with tools including Airflow or Oozie.
Experience using Spark, Hive, or SQL to perform advanced data investigation.
Experience implementing statistical and machine learning methods for data classification and regression.
Experience working in AdTech with demonstrated knowledge of the AdTech business.
Experience developing techniques to ascertain correctness of data processing and transformation implementations using unit, integration and end-to-end pipeline testing.
Experience designing and developing software to perform ETL operations on large datasets.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 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 deferred profit-sharing plan, associate stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, associate discounts, 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.

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