Job Location: Bangalore
About us
If you’re thinking ‘scale’, think bigger and don’t stop there. At Walmart Labs , we don’t just innovate, we enable transformations across stores and different channels for the Walmart experience. Take a regular day at Walmart Labs and match that with 260 million customers a week, 11,695 stores, under 59 banners in 28 countries and e-commerce websites in 11 countries. That’s Walmart Labs Chennai for you. With fiscal year 2019 revenue of $514 billion, Walmart employs approximately 2.3 million associates worldwide. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We’re changing what customers can expect from the experience of shopping, from the physical stores, to mobile, social and even online; we’re not just ready for the future of shopping, we’re creating it.
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, 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
Bachelor’s Degree or Master’s Degree with 7+ 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, Storm, 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 Team
Global Risk and Compliance group focuses on managing and delivering world-class customer experience, including creating and maintaining standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
Your Opportunity
As part of Global Risk and Compliance group, you’ll have the opportunity to make a difference by being a part of development team that helps our journey to be the world’s leading retailer. 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 Responsibility
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
Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
Experience building and optimising ‘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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