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Big data is floating all around us. Businesses are considering big data as the core of their working system and growth. In a recent survey by NewVantage Partners, 91.6% of the executives queried said that they were increasing their investments in big data analytics. With data taking over the world, the global job market is also witnessing an increasing demand for big data professionals. The US Bureau of Labour Statistics (BLS) anticipates that big data jobs will grow 12% more by 2028, creating 546,200 new jobs in the same period. Some of the famous big data jobs are security engineer, data scientist, big data engineer, data analyst, database manager, data architect, technical recruiter, etc. The salaries for big data professionals are also high. Henceforth, Analytics Insight has listed the top big data job vacancies that are available at MNCs this month.
Location: Bangalore, India
IBM (International Business Machines) is a global technology company that provides hardware, software, cloud-based service, and cognitive computing. Founded in 1911, the company has developed a thoughtful, comprehensive approach to the corporate citizen that they believe aligns with IBM's values and maximize the impact they can make as a global enterprise. IBM focuses on specific societal issues, including the environment, community economic development, education and skills, public health, literacy, language, and culture.
Roles and responsibilities: As a Big Data Engineer, the candidate should develop, maintain, evaluate, and test big data solutions. He/she will be involved in data engineering activities like creating pipelines or workflow to the source to target, etc. The candidate should take part in the design of data solutions using Hadoop-based technologies along with Hadoop, Azure, HDInsights for Cloudera-based data late using Scala programming. He/she is responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems. The profile requires someone with over 7+ years of experience in big data technologies.
Apply here for the job.
Location: Many locations
COLLABERA is a staffing firm that offers, hires, trains, and deploys services, and acts as recruitment outsourcing services. Founded in 1991 and headquartered in Basking Ridge, New Jersey, the company reaches out a hand to turn the job search into a companionable, supportive journey. The employee network helps place talented professionals at innovative companies across the world, providing continuous support for both client and consultant throughout the length of each project.
Roles and responsibilities: The candidate is expected to have relevant consulting, industry experience working on medium or large-scale technology solution delivery engagement. He/she should have hands-on experience with big data and tools like Hive, Spark, Hadoop, MapReduce, etc. The candidate is expected to be very strong in one of the programming languages (Python, Java, Scala, etc). As a big data engineer, he/she should have a good handle on working in distributed computing and cloud services platforms.
Apply here for the job.
Location: Mumbai, India
Reliance Industries Ltd is India's largest private sector company on all major financial parameters. Reliance Industries' activities span hydrocarbon exploration and production petroleum refining and marketing petrochemicals retail and telecommunications. The company has evolved from being a textiles and polyester company to an integrated player across energy, materials, retail, entertainment, and digital services. Today, the company serves around 300 million customers in India and across the globe.
Roles and responsibilities: As a big data developer, the candidate is expected to work in an agile environment to design, build, and manage highly scalable Hortonworks. He/she should develop Hadoop with main components like HDFS, Spark, YARN, Nifi, Kafka, Hive, Hbase, etc. As a part of the team, the candidate is should work on collecting, storing, processing, and analyzing huge sets of data. They are mandated to have hands-on experience with Java. Besides, the candidate should have general skills and knowledge of big data.
Apply here for the job.
Location: Bangalore, India
McAfee is a device-to-cloud cybersecurity company that creates enterprise and consumer solutions to make a safer place. The company provides a holistic, automated, and open security platform and a cloud-first approach to build security solutions that allow customers' products to co-exist, communicate, and share threat intelligence with each other anywhere in the digital landscape. Founded in 1987, McAfee aims to spread a collaborative attitude to its customers, partners, even competitors.
Roles and responsibilities: The senior big data DevOps engineer is expected to be a creative, innovative, and result-oriented person willing to go the extra mile in a fast-paced environment. He/she should design, build, deploy, maintain, and support big data infrastructure in production and test environments. The candidate should closely work with big data engineers to recognize the big picture and take initiatives to solve the problem and improve the design. The company demands the candidate to have 8 years of hands-on experience in administering the Hadoop eco-system and 3 years of experience using the AWS cloud platform.
Apply here for the job.
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