Amazon Company Profile

Sr Business Intelligence Engineer



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 Business Intelligence Engineers to be part of our 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-sized 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!



  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or similar analytical field.
  • 5+ Years of experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Hands-on experience hiring and managing teams of data engineers
  • Highly proficient in SQL and knowledgeable about data warehousing concepts.
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress



  • Master’s degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field.
  • Experience with Big Data technologies e.g. Hadoop, EMR, Hive, Oozie, Presto, Hue, Spark,
  • Experience with one or more scripting languages e.g. Python, Scala etc
  • Experience with Massively Parallel Processing (MPP) databases - Redshift, Teradata etc
  • Experience with distributed systems and NoSQL databases
  • Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, DynamoDB, Kinesis, Lambda, S3, EC2, etc.



If you are currently enrolled in or have graduated from a Bachelor's, Master's, or Ph.D program in the past 6 months, your background aligns more closely with our Student Programs openings. To learn more about our Student Programs and search for internships and full-time opportunities please visit this site:

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