Our Ideal Candidate
You have a deep interest and passion for technology. You love writing/owning code and enjoy working with people who challenge 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.
Bachelor's Degree or Master’s Degree with 9+ 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)
The International Data Organization at Walmart Labs in Bentonville 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 the Global Data Organization 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.
As part of the Global Data Engineering Team @Walmart Labs, you’ll have the opportunity to make a difference by being a part of Development and Support 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.
Develop 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
Perform root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
Build and optimize ‘big data’ data pipelines, architectures and data sets involving petabytes and terabytes 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 agendas, set your priorities and deliver awesome product features to keep our platform ahead of market scenarios.
Closely interact with Data Engineers from within Walmart to identify 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
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience in
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 3 years' experience in software engineering