Big Data Engineer

Big Data Engineer

Amazon Web Services (AWS)
0-10 years
Not Specified

Job Description



DESCRIPTION

Job summary
Do you want to be in the forefront of engineering big data solutions that takes Transportation models to the next generation Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need We are looking for top notch Data Engineers to be part of our world class Transportation Business Intelligence team. We are building real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-d business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up to the challenge!

BASIC QUALIFICATIONS
  • 0-10 years of experience performing quantitative analysis, preferably for an Internet with large, complex data sources
  • Hands-on experience on Big data technologies and frameworks. Hive, Spark, Hadoop, SQL on Big Data, Redshift
  • Experience in near real time analytics
  • Experience with scripting languages i.e. Python, Perl, etc.
  • Experience with ETL, Data Modeling, and working with large-scale datasets. Extremely proficient in writing performant SQL working with large data volumes
  • Ability to manage competing priorities simultaneously and drive projects to completion
  • Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)

PREFERRED QUALIFICATIONS
  • Experience with large scale data processing, data structure optimization and scalability of algorithms a plus


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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IT

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Job Source : www.amazon.jobs

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