Data Engineer, Flex Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

Amazon Flex Analytics is seeking a Data Engineer to build and support their global business intelligence platform. Responsibilities include developing scalable data processes, designing data pipelines on AWS technologies, and improving data architecture, quality, and availability. The role requires experience with data modeling, warehousing, ETL, and query/scripting languages, with a strong preference for big data technologies and ETL tools.

Responsibilities

  • Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum
  • Develop and improve the current data architecture, data quality, monitoring and data availability
  • Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
  • Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (ex. data visualization tools for non-tech business users)
  • Participate in strategic and tactical planning discussions that drive the DE team’s work

Requirements

  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)

Desired Qualifications

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
  • Workplace accommodation or adjustment during the application and hiring process if you have a disability.
#Data Engineering#Analytics#Business Intelligence#AWS#ETL#Data Warehousing#Data Lakes#Data Governance#Data Modeling#Data Pipelines#Spark#Python#SQL

Company

Amazon

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Associate

Locations

Hyderabad, India

Applicants

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