Data Engineer Ii, Ap Analytics

Amazon

Ts, IN, United States
On-site
Spark, emr, sns, sqs, lambda, kinesis firehose, dynamodb streams
Data modeling, etl design, business intelligence tools
Large volumes of data
We are looking for top notch Data Engineers to build real time data analytical platforms using big data tools and AWS technologies like Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams

Job Summary

  • We are looking for top notch Data Engineers to build real time data analytical platforms using big data tools and AWS technologies like 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 passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact.

Matching Summary

We are looking for top notch Data Engineers to build real time data analytical platforms using big data tools and AWS technologies like Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.

Skills & Requirements

Must-have

  • Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams
  • data modeling, ETL design, business intelligence tools
  • large volumes of data
  • near real time analytics
  • performant SQL working with large data volumes

Nice-to-have

  • analytical thinking, metrics driven decision making
  • self-starter, comfortable with ambiguity
  • think big, attention to detail
  • fast-paced and global team

Key Requirements

  • 4+ years of experience performing quantitative analysis
  • Hands-on experience on Big data technologies and frameworks
  • Experience with scripting languages i.e. Python, Perl, etc.
  • Bachelor's degree or higher in a quantitative/technical field

Work Rights

Not specified

Tailored Resume

Cover Letter