(USA) Staff Software Engineer - Data | Back End
- Sunnyvale, CA
What you'll do...
We are looking for outstanding data engineer with skills in distributed
computing system and experience working with very large scale of data, who
will work closely with machine learning/data scientists in the team, and
contribute to Advertising Technology in driving the future of ad targeting,
personalization, relevance, ranking, and campaign optimization. You will be
part of the Advertising Technology Data science team and lead in
researching, designing, implementing the data engineering platform that
underpins data flowing into ML models. Additionally, you will mentor and
coach the team, ensure the best engineering practices are followed and hold
the team accountable.
Join us if you want to be spending your time on:
Building, maintaining and monitoring scalable data pipelines to support
modeling and optimization products;
Analyzing, identifying, and debugging data related issues to ensure
quality and stability of models and applications;
Working with machine learning/data scientists to build prototypes and
Working with engineering team to productize new features and
Performing ad hoc data related analysis.
Leveraging public could. Utilize public cloud tools and resources most
efficiently to scale our storage and computation in Google cloud
platform and Microsoft Azure. Improve performance optimization and
Operating with excellence. Lead by example in implementing quality
code and conducting code/design reviews, enabling monitoring and
alerting systems for proactive incident handling, automating the
product software development, testing, deployment, running and
disaster recovering, and troubleshooting and solving emergent
Masters or equivalent degree in a computational science or
8+ years of experience in software development, 4+ years in data
Proficient in Scala or Java or Python, spark, HQL and SQL and
familiarity with. Linux/Unix/Shell environments;
Deep knowledge in Hadoop ecosystem, like HDFS, Hive, MapReduce,
Strong hands-on skills in building scalable and reliable data pipelines
for sourcing, cleaning and manipulating large volumes of data;
Advanced knowledge of complex software design, distributed system
design, design patterns, data structures and algorithms.
Excellent data analytics skills and ability to explore and identify data
Experience with distributed version control like Git or similar
Experience with continuous integration/deployment processes and
tools such as Jenkins and Maven.
Familiar with public cloud technologies in Google Cloud Platform,
especially BigQuery, GCS and Dataproc.
Experience building and maintaining large scale data pipelines in
online advertising, recommender system, ecommerce or relevant
Experience building/maintaining machine learning models and
Experience building monitoring systems/dashboards for data pipelines.
Familiarity with job scheduler (e.g., Jenkins/Azkaban/Airflow)
Experience with Elastic Search/Solr.
Experience with enterprise monitoring and alerting solutions like
Prometheus, Graphite, alerts manager and Splunk.
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 duties, responsibilities, and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Benefits & Perks -
Beyond competitive pay, 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 to 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.
About 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 2.2 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.
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications: Bachelor of Science and 6 years' experience in software engineering OR Master of Science and 3 years' experience in software engineering.
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master's degree in Computer Science or related field and 3 years' experience in software engineering
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