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Data Engineer III

3.00 to 5.00 Years   Chennai   03 Jun, 2020
Walmart
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryRetail
Functional AreaDBA / DatawarehousingGeneral / Other Software
EmploymentTypeFull-time

Job Description

Our Ideal CandidateYou 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, decision-making 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

  • Bachelors Degree or Master s Degree with 3+ years of experience in Computer Science or related field.
  • Experience in ETL and Expertise in SQL.
  • Expertise in Big Data Ecosystem with experience in Hadoop, Hive, Spark, Strome, Cassandra, NoSQL DB s.
  • Expertise in MPP architecture and knowledge of MPP engine (Spark, Impala etc).
  • Data pipeline/workflow management tools such as Azkaban, Airflow and oozie
  • Cloud Development experience
  • Experience in building scalable/highly available distributed systems in production.
  • Understanding of stream processing with knowledge on Kafka.
  • Knowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system.
  • Very good expertise in production support related activities (issue identification, resolution)
Our TeamThe Global Data Organisation @ Walmart Labs in Chennai 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 Marketing, Finance, Supply chain, Pricing, Customer, HR etc.Our team which is part of GDO, Chennai is responsible for creating and maintaining the Global Data Lake wherein we build the global data domain data for Walmart customers across the Globe and shopping in various ways like in Brick and Mortar Store, dot com, mobile etc. The team is responsible for time critical, business critical and highly reliable systems that influence Walmart business. The team is spread over multiple locations and we work towards providing the best experience to our customers.Your OpportunityAs part of the Global Data Engineering Team @Walmart Labs, you ll have the opportunity to make a difference by being a part of Support and Development team that helps in building best shopping experience for Walmart Customers at our Stores and online. Here you are also required to continuously innovate to lower the development cost, provide greater value to the business and provide best experience to our Business partners and Customers.Your ResponsibilityDevelop high performance and scalable solutions that extract, transform, and load big data.
  • Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale
  • Experience performing root cause analysis on 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.
  • Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.
  • Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.
  • Closely interact with Data Engineers from within Walmart to identify right open source tools to deliver product features by performing research, POC/Pilot.
  • Engage with Product Management and Business to support and build data solutions and develop expertise w.r.t data thereby being known as the true data analyst.
  • Engage with the engineering team to provide seamless production support.
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Keyskills :
python sql debugging documentation edw rootcauseanalysis bigdata rootcause datadomain machinelearning dataengineering streamprocessing agileenvironment atasciencedatasolutions

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