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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Retail |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
We help people around the world save money and live better -- anytime and anywhere -- in retail stores, online and through their mobile devices. Each week, more than 220 million customers and members visit our 11,096 stores under 69 banners in 27 countries and e-commerce websites in 10 countries. With last fiscal revenues of approximately $486 billion, Walmart employs 2.2 million employees worldwide. @ Walmart Labs in Bangalore, we use technology for the charter of building brand new platforms and services on the latest technology stack to support both our stores and e-commerce businesses worldwide. Our TeamThe Data Strategy and Insights Team @ Walmart Labs in Bangalore provides Data Foundation Infrastructure, Visualization Portal, Machine Learning Platform, Customer platform and Data Science products that form part of core platforms and services that drive Walmart business. The group also develops analytical products for several verticals like Merchandising, Supply Chain, Customer, Finance, HR etc. We are looking for a strong candidate for our Merchandising team. The team is responsible to design and develop the data pipeline to ingest Merchandising data to the data lake. It involves dealing with terabyte of data and building complex data pipelines. The data is then consumed by the acceleration layer and business deliverables in the form of reports/dashboards, applications are developed. This data is also used to power the data science algorithms at scale.Your OpportunityAs part of the Merchandising team@Walmart Labs, you ll have the opportunity to make a difference by being a part of development team that builds products at Walmart scale. One of the key attribute of this job is that you are required to continuously innovate and apply technology to provide business 360 view of Walmart customers.Your ResponsibilityWorking with and extracting value from large, disconnected and/or unstructured datasetsStrong interpersonal skills and ability to project manage and work with cross-functional teamsExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Experience building and optimizing big data data pipelines, architectures and data sets involving petabyte and terabyte of data.Should have basic understanding of various data science modules and process.Experience in building micro services and rest endpoint development. Our ideal candidate:You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decisionmaking and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.Your Qualifications:Experience with the following tools and technologies:Hadoop, Hive, Spark Relational SQL and NoSQL databasesAcceleration/Consumption layer technologies like Druid, Presto, Hive LLAP, Kylin, Thoughtspot, Clickhouse etcData pipeline/workflow management tools such as Automic, Airflow, Oozie or AzkabanAny cloud exposure like GCP, Azure or AWS Stream-processing systems such as Kafka, Storm or Spark-StreamingObject-oriented/object function scripting languages such as Python, Scala, JavaVisualisation tools exposure like Looker, Tableau etc is a good to have ,
Keyskills :
root cause analysisbig dataagile environmentsqlapacheetlanalyticsmachine learningsupply chainstrong interpersonal skillsemailcontent managementroot causedata scienceproblem solving