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MapReduce Jobs in Bangalore (Bengaluru)

Explore top MapReduce Job opportunities in Bangalore (Bengaluru) for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

"Senior Engineer - Hadoop"

Founded 2012
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Location icon
Bengaluru (Bangalore)
Experience icon
6 - 10 years
Experience icon
25 - 50 lacs/annum

"Senior Engineer - Development\n\nOur Company\nWe 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. \n\n@ 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. \n\nOur Team\nThe Global Data and Analytics Platforms (GDAP) 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 supply chain, pricing, customer, HR etc.\n \nOur team which is part of GDAP Bangalore is responsible for creating the Customer Platform which is a one stop shop for all customer analytics for Walmart stores, a Machine Learning Platform that provides end-to-end infrastructure for Data Scientists to build ML solutions and an Enterprise Analytics group that provides analytics for HR, Global Governance and Security. The team is responsible for time critical, business critical and highly reliable systems that influence almost every part of the Walmart business. The team is spread over multiple locations and the Bangalore centre owns critical end to end pieces, that we design, build and support.\n \nYour Opportunity\nAs part of the Customer Analytics 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, which is the foundation of Customer Analytics across Walmart. 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.\n\nYour Responsibility\n•\tDesign, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale \n•\tInteract with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.\n•\tEngage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.\n•\tIdentify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums\n•\tDevelop and/or Contribute to add features that enable customer analytics at Walmart scale\n•\tDeploy and monitor products on Cloud platforms\n•\tDevelop and implement best-in-class monitoring processes to enable data applications meet SLAs \n\nOur Ideal Candidate\nYou 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. \nYour Qualifications\n•\tBachelor's Degree and 7+ yrs. of experience or Master’s Degree with 6+ years of experience in Computer Science or related field \n•\tExpertise in Big Data Ecosystem with deep experience in Java, Hadoop, Spark, Storm, Cassandra, NoSQL etc.\n•\tExpertise in MPP architecture and knowledge of MPP engine (Spark, Impala etc).\n•\tExperience in building scalable/highly available distributed systems in production.\n•\tUnderstanding of stream processing with expert knowledge on Kafka and either Spark streaming or Storm.\n•\tExperience with SOA. \n•\tKnowledge of graph database neo4j, Titan is definitely a plus. \n•\tKnowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system."

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Lakshman Dornala
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"Senior Engineer - Java/Hadoop"

Founded 2012
Products and services{{j_company_types[1 - 1]}}
{{j_company_sizes[4 - 1]}} employees
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Location icon
Bengaluru (Bangalore)
Experience icon
6 - 10 years
Experience icon
20 - 50 lacs/annum

"Our Company\nWe 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. \n\n@ 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. \n\nOur Team\nThe Global Data and Analytics Platforms (GDAP) 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 supply chain, pricing, customer, HR etc.\n \nOur team which is part of GDAP Bangalore is responsible for creating the Customer Platform which is a one stop shop for all customer analytics for Walmart stores, a Machine Learning Platform that provides end-to-end infrastructure for Data Scientists to build ML solutions and an Enterprise Analytics group that provides analytics for HR, Global Governance and Security. The team is responsible for time critical, business critical and highly reliable systems that influence almost every part of the Walmart business. The team is spread over multiple locations and the Bangalore centre owns critical end to end pieces, that we design, build and support.\n \nYour Opportunity\nAs part of the Customer Analytics 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, which is the foundation of Customer Analytics across Walmart. 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.\n\nYour Responsibility\n•\tDesign, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale \n•\tInteract with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.\n•\tEngage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.\n•\tIdentify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums\n•\tDevelop and/or Contribute to add features that enable customer analytics at Walmart scale\n•\tDeploy and monitor products on Cloud platforms\n•\tDevelop and implement best-in-class monitoring processes to enable data applications meet SLAs \n\nOur Ideal Candidate\nYou 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. \nYour Qualifications\n•\tBachelor's Degree and 7+ yrs. of experience or Master’s Degree with 6+ years of experience in Computer Science or related field \n•\tExpertise in Big Data Ecosystem with deep experience in Java, Hadoop, Spark, Storm, Cassandra, NoSQL etc.\n•\tExpertise in MPP architecture and knowledge of MPP engine (Spark, Impala etc).\n•\tExperience in building scalable/highly available distributed systems in production.\n•\tUnderstanding of stream processing with expert knowledge on Kafka and either Spark streaming or Storm.\n•\tExperience with SOA. \n•\tKnowledge of graph database neo4j, Titan is definitely a plus. \n•\tKnowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system."

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Lakshman Dornala picture
Lakshman Dornala
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Lakshman Dornala
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"HBase Architect Developer"

Founded 2017
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Location icon
Bengaluru (Bangalore)
Experience icon
1 - 3 years
Experience icon
6 - 20 lacs/annum

"www.aaknet.co.in/careers/careers-at-aaknet.html\n\nYou are extra-ordinary, a rock-star, hardly found a place to leverage or challenge your potential, did not spot a sky rocketing opportunity yet?\n\nCome play with us – face the challenges we can throw at you, chances are you might be humiliated (positively); do not take it that seriously though! \n\nPlease be informed, we rate CHARACTER, attitude high if not more than your great skills, experience and sharpness etc. :)\n\nBest wishes & regards,\nTeam Aak!"

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Debdas Sinha
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Debdas Sinha
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"Big Data Engineer"

Founded
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Location icon
Bengaluru (Bangalore)
Experience icon
3 - 7 years
Experience icon
10 - 25 lacs/annum

"Good understanding of OOP with Strong Coding skills in Java.\nDatabase knowledge: good knowledge of SQL queries.\nShould have worked on highly distributed systems.\nStrong in Data Structures & Algorithms, Analytical and Problem solving skills.\nHands on experience in GNU/Linux (Unix env).\n\t\nAble to work with minimal supervision and in a team environment."

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Mythri Isukapalli
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