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Principal Software Engineer - Big Data Systems

Walmart


Location:
SUNNYVALE, CA
Date:
11/21/2017
2017-11-212017-12-20
Job Code:
931213BR
Walmart
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Job Details

Principal Software Engineer - Big Data Systems in SUNNYVALE, CA | Walmart Careers

Principal Software Engineer - Big Data Systems

  • Location SUNNYVALE, CA
  • Career Area
  • Job Function Software Development and Engineering
  • Employment Type -
  • Position Type -
  • Requisition 931213BR

What you'll do at

As a Principal Software Engineer, you'll be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time indexing pipelines, streaming analytics, distributed machine learning infrastructure and other tasks as part of Search BigData team.

Responsibilities include:

• Design, develop, and implement large-scale distributed systems that process large volume of data; focusing on scalability, latency, and fault-tolerance in every system built.
• Design, develop, and operate web analytics solutions processing billions on daily clickstream events.
• Create systems that orchestrate and execute complex workflows in big-data pipelines.
• Evaluate and fine tune systems for speed, robustness, and cost efficiency.
• Create datasets, tools, and services supporting big data, search and machine learning operations.
• Own full life-cycle of business solutions – from requirements definition to launching in production.
• Troubleshoot business and production issues.
• Own multiple systems across the search big data platforms, and work with engineers, program managers, and engineering leaders to identify opportunities for business impact.
• Participate in setting a vision and objectives for the team in alignment with business and market needs.

Why you will love this job:

• Making an immediate impact on a global scale.
• Grow your career by being a key contributor on systems that runs on largest internet scale and process billions of data points daily.
• Work with many cutting edge technologies, including big data, search, machine learning, containers at Walmart scale.
• Work alongside experts in search, big data, machine learning, analytics, and software engineering.



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Minimum Qualifications

• Bachelor's degree in Computer Science or related technical field.
• 7+ years of object oriented programming experience in Java, Scala or similar language.
• 5+ years of experience in building of large scale data pipelines using big data technologies (i.e. Spark/Kafka/Cassandra/Hadoop/Hive/Pig).
• 5+ years of experience in systems design, algorithms, and distributed systems.
• 4+ years of experience in Python or Ruby, and SQL.

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Preferred Qualifications

Preferred Qualifications:

• Large scale distributed systems experience, including scalability and fault tolerance.
• Experience in data analysis software, data warehousing and data processing (e.g. Hadoop, Spark, Impala, and similar).
• Exposure to cloud infrastructure, such as Open Stack, GCP, Azure or AWS
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
• Strong computer science fundamentals in data structures and algorithms
• Graduate degree in computer science or related field (MS or PhD)
• Ability to operate effectively and independently in a dynamic, fluid environment
• Exposure to information retrieval, statistics and machine learning.
• Excellent oral and written communication skills.

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
"I feel like my manager wants to help me become a better developer and a better person overall."
— Roel, Program Analyst

Hello, Silicon Valley

You don’t have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

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