Sr. Data Engineer
Amazon
Bangalore, IN
22h ago

Job summary

Join the Labor Management System team (LMS) - part of Distribution Center Technology team (DCT) - and build the next generation of labor management related data products and insights for Area Managers and Operations managers running Amazon Distribution Centers.

Amazon is investing heavily in research and technology to unleash innovative, actionable Labor Management insights with the purpose of lowering cost of running distribution centers, while powering a better associate experience for Amazon associates working in the distribution centers.

The LMS Sr Data Engineer should have deep expertise in the design, creation, and management of large and complex datasets.

You should be an authority at crafting, implementing, and operating stable, scalable solutions to flow huge amounts of data from production systems into the data lake, and build complex transforms to compute and store new labor related measurements developed by the team.

You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many non-standard and unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage.

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.

The purview of this role spans measurement across all of Labor Management Systems products including Labor Planning, Labor Task Assignment and Labor Performance Management .

This is a highly visible role in an exciting and growing space.

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 very 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 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, ruby, java or similar.
  • Excellent understanding of software development life cycle and / or agile development environment with emphasis on BI practices.
  • 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 of engineers and scientists on best practices in the data engineering space
  • Be self-driven and show ability to deliver on ambiguous situations and projects
  • Report this job
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Apply
    My Email
    By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
    Continue
    Application form