Big Data Hadoop Engineer

Job description

We Are:

Intelligent Software Engineering Services (IES). We specialize in solving the really tough software engineering problems. A great day for us? Using our skills with data, AI, and cloud, and our general tech smarts to crack business challenges that looked too tough to consider, or where others have tried and failed. Big problems are everywhere, so we are too: we're more than 30,000 problem solvers around the world, growing with each other and working with the biggest players in tech. Every one of us is a potential game changer, dedicated to applying The New to now. Visit us here to find out more about Accenture Intelligent Software Engineering Services .


You Are:

A Big Data engineering maestro who knows how to build modern data architectures to provide mountains of data to data analysts and scientists. Your not-s0-secret talent? Developing, maintaining, testing, and evaluating Big Data solutions to help organizations make smarter decisions. You're familiar with the systems side of Hadoop-based technologies such as MapReduce, Hive, MongoDB, and Cassandra, and you're a wizard in data warehousing solutions. You thrive in a team setting where you can use your formidable creative and analytical powers to annihilate problems. Communication and people skills? You have both in spades, along with strong leadership and management chops. You're a natural at bringing out the best in teams, and working in an information systems environment makes you more than happy.


The Work:
· Work with clients to grasp their business philosophy and IT strategy; act as a beacon of our vision that the purpose of data pipelines is to help clients make better decisions by giving them the right data at the right time.
· Design, build, and implement advanced data pipelines that bring together data from a range of sources. Make sure the data is accessible to data scientists, analysts, and other users via a variety of programming languages.
· Carry out complex Big Data projects that collect, parse, manage, analyze, and visualize large data sets, providing insights that clients can act on across their customer-facing platforms.
· Understand the challenges being addressed by an engagement and collaborate with team members and clients to deliver a technical solution that meets the unique needs of our clients.
· Describe technical solutions to appropriate audiences by creating high quality content.
· Mentor and lead more junior team members.
· Be ready to rack up those air miles with weekly travel to client sites.

Desired profile

Qualifications :


Basic Qualifications:
·  Minimum of 4 years' hands-on technical experience implementing Big Data solutions using Hadoop ecosystem
·  A Bachelor's degree, or an Associate's degree and 6 additional years of experience, or 12 additional years of experience
·  Must be willing to travel 100%


Preferred:
·  You've got experience of full life-cycle development
·  You have delivered Big Data solutions in the cloud with AWS or Azure or Google Cloud
·  You can configure and support API and Open Source integrations
·  You have experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
·  You're no newbie when it comes to working in a DevOps environment
·  You're familiar with designing ingestion, low-latency, visualization clusters to sustain data loads
·  Experience in developing solutions using any of the following:
·  Kafka-based streaming services
·  R Studio
·  Relational and Non-relations Databases (No-SQL)
·  Amazon S3
·  Scala, Spark
·  Jenkins, Chef, Puppet

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.