Role  : Big Data Expert

Duration  :  6 months

Location :  Beaverton, OR

Experience : 8+ Years

Required Skills -  Amazon Elastic MapReduce, Hadoop, Hadoop Core (Pig, Hive, Sqoop, Flume)

Job Description- 

Big data at this client comes with big opportunities for innovation. Our client is turning to big data and Hadoop to help better understand customers, improve marketing efforts and fine-tune data-driven strategies. As our Expert Engineer, you will be driving architecture and design patterns to provide consumer insights that drive our client to new heights. You will be leading the innovation in driving the Next Generation Analytics Platform and frameworks in the cloud. 

We are creating new, innovative digital solutions and customizing products for consumers more quickly than ever before. To meet the demands of our business, we are rapidly embracing new software development and deployment technology and tools and delivering solutions using agile methodology. If that sounds exciting, this role is for you.

Your Role on the Team
Here are some highlights of the responsibilities for this critical role:

• Meet increasingly high demands of fast and flexible, self-service analytics on high volume and high velocity data
• Lead next generation big data analytics platform in the cloud, with emphasis on automation and scale
• Work with data engineers and system engineers to build innovative data products and insights
• Be a key contributor to overall architecture, framework and design of BI and Analytics environment
• Help the engineering group to shift the paradigm from traditional, relational BI to Big Data and NoSQL ecosystem in the Cloud
• Evangelize and cultivate adoption of open source software and Dev Ops principles within the organization

Qualifications

What We're Looking For

• We're looking for someone special, someone who had these experiences and clearly demonstrated these skills:
• MS/BS in Computer Science or related field
• 7+ years of experience in large-scale software development with emphasis on data analytics and high volume data processing
• 5+ years of experience architecting and building scalable data architecture
• 3+ years experience Hands-on experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala and Spark
• Strong experience with SQL and Relational databases and scripting languages such as Shell and Python
• Familiarity with cloud implementation, preferably AWS
• Strong communication and collaboration skills
• Ability to pass a 7 year background investigation