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What you'll do...
What you'll do:
Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce.
Architect systems and workflows to process and manage petabyte scales of features data.
Collaborating with team leads to deliver end-to-end scalable architecture for cross-functional projects.
Work closely with business and product stakeholders to define strategy, vision, and roadmap for top initiatives in Personalization and Recommendations.
Actively propose, review and present technical solutions including architecture design, implementation details and customer and business impacting KPIs.
Actively contribute to the research community through participation at conferences, seminars, and workshops.
At least 4+ years of experience in building large-scale data pipelines using big data technologies like Apache Spark, Apache Kafka, Cascading, Apache Hive, and Hadoop stack.
Experience in Java or Scala, Python, Bash, and SQL.
Experience in architecting and designing large-scale distributed systems that process large volumes of data focusing on scalability, latency, and fault-tolerance.
Experience in building large scale distributed systems with scalability and fault tolerance.
Experience in building systems leveraging tool available in Google Cloud Platform.
Experience in multi-cloud production environment deployment and maintenance.
Strong experience in debugging, performance tuning, automation, and optimization for scalability and high availability.
Exposure to data science and machine learning techniques.
You have advanced knowledge of complex software design, distributed system design, design patterns, data structures and algorithms.
You have experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka , and Hadoop stack preferably in Google Cloud Platform.
Experience in designing ML features and models from structured and unstructured data.
Experience in building datasets, tools, and services supporting big data and analytics operations.
Experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos.
Experience with distributed version control like Git or similar.
Familiar with continuous integration/deployment processes and tools such as Jenkins and Maven.
Strong written and oral communication skills.
Benefits & Perks:
Beyond our great compensation package, 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.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.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
Sunnyvale, California US-08479:The annual salary range for this position is $143,000.00-$286,000.00 Bentonville, Arkansas US-10735:The annual salary range for this position is $110,000.00-$220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications...These jobs might be a good fit