Amazon
Business Intelligence Engineer, Perfect Mile, PerfectMile Content
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Perfect Mile, PerfectMile Content
Job ID: 2777411 | Amazon.com Services LLCDo 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 a top notch Business Intelligence Engineer to be part of PerfectMile Content team. We perform data modeling, build 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. You are an expert with data modeling, ETL design and business intelligence tools and passionately partner with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. You are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy 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
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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.
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Job ID: 2777411 | Amazon.com Services LLCDo 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 a top notch Business Intelligence Engineer to be part of PerfectMile Content team. We perform data modeling, build 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. You are an expert with data modeling, ETL design and business intelligence tools and passionately partner with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. You are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy 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
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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.
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