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Data Engineer @ Amazon

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 Data Engineer

Job Description

Role & responsibilities

  • Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure
  • Maintain, improve and manage all ETL pipelines and clusters
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Define metrics and KPIs to measure success of strategic initiatives and report on their progress
  • Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
  • Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
  • Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.

Preferred candidate profile

  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Amazon
Location(s): Hyderabad

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Keyskills:   Pyspark Data Engineering AWS Data Pipeline Data Modeling Data Warehousing ETL Python SQL

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Amazon

Interested candidates can call / whastapp on HR Jyoti- 9214555567