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Walmart Senior Software Engineer United States, California, Sunnyvale 569866634
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What you'll do...
We are a team of data engineers 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 :
- Leads the discovery phase of large software engineering projects by collaborating with cross-functional teams to determine project strategy; interpreting strategy into sustainable architecture and solutions; identifying short- and long-term solutions and timelines; driving prototype development to ensure concept is feasible
- Work on projects focused on bringing in data from different sources and make this data available in different forms to downstream teams.
- Identify opportunities at the engineering and product side and influence leaders and engineers to solve high impact problems.
- You will be partnering cross-functionally with Product, Data Science, Tech Leads and other EMs, to understand the data landscape and influence the methodology choices.
- Partner across Engineering organization to establish strategic plans and objectives to improve the mean time to detect and mean time to restore.
- Mentor junior engineers by providing direction regarding architecture and design; providing guidance regarding project issues or roadblocks; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes; ensure stability and scalability of the platform
- Root-cause analysis of complex problems involving multiple parties, networks, hardware, and software that relate to scaling and performance.
What you'll bring:
- 5+ years of experience in software development, ideally focusing on distributed applications, system integrations and big data management.
- 3+ years of experience in building and managing large scale distributed, scalable, highly available, and fault tolerant systems
- Proficient in Scala or Java or Python, spark, HQL and SQL.
- Deep knowledge in Hadoop ecosystem, like HDFS, Hive, MapReduce, Presto etc.
- Strong Experience with near real-time stream processing( Micro-services, Spark, Flink, Storm, and Kafka Connect ) at scale
- Experience in in messaging systems such as Kafka
- Excellent communication and leadership skills
- Exceptional analytical-reasoning and problem-solving skills
- Manage multiple projects and prioritize tasks effectively
Preferred qualifications:
- Familiar with public cloud technologies in Google Cloud Platform, especially BigQuery, GCS and Dataproc
- Experience with ETL pipelines
- Experience in advertising domain (AdTech)
- Familiar with workflow management systems like airflow or oozie
- Experience with enterprise monitoring and alerting solutions like Prometheus, Graphite, alerts manager and Splunk
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
The annual salary range for this position is $117,000.00-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock 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.
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