Amazon Jobs for Senior Data Engineer

Full Time

Website Amazon

Technology, Information and Internet

Senior Data Engineer Job Description

You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a Senior Data Engineer, you will also be mentoring other junior resources, provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

Basic Qualifications

  • 5+ years of experience as a Data Engineer or in a similar role
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience in SQL
  • Excel in the design, creation, and management of large datasets.
  • Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL and reporting/analytic tools and environments.
  • Skilled with writing, tuning, and troubleshooting complex SQL queries
  • Experience with Big Data technologies such as Hive/Spark, AWS EMR, AWS Glue, AWS Lambda , Kinesis, Redshift.
  • Proficiency in one of the scripting languages – python, java or similar.
  • Strong organizational skills and planning prowess, with excellent attention to detail.

Preferred Qualifications

  • 7-10 years of industry experience as a Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • Experience with Massively Parallel Processing (MPP) databases – Redshift, Teradata etc
  • Experience with distributed systems and NoSQL databases
  • Experience leading medium to large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
  • Excellent communication skills and able to work with business owners to develop and define key business questions and to build data sets that answer those questions
  • Experience providing technical leadership and mentorship to engineers and scientists on best practices in the data engineering space
  • Be self-driven and show ability to deliver on ambiguous situations and projects

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