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Data Engineer I - FTC, Payfort

Amazon · Chennai

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Collected role description

Role overview

Data Engineer I - FTC, Payfort at Amazon

You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps

Employment details

  • Location: Chennai [Tamil Nadu] [India]

About the employer

  • Amazon Payment Services (APS) is a leading payment service provider in MENA region with operations spanning across 8 countries and offers online payment services to thousands of merchants.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Additional role details

  • Want to participate in building the next generation of online payment system that supports multiple countries and payment methods?
  • APS team is building robust payment solution for driving the best payment experience on & off Amazon.
  • Over 100 million customers send tens of billions of dollars moving at light-speed through our systems annually.
  • We build systems that process payments at an unprecedented scale with accuracy, speed and mission-critical availability.
  • We innovate to improve customer experience, with support for currency of choice, in-store payments, pay on delivery, credit and debit card payments, seller disbursements and gift cards.
  • Many new exciting & challenging ideas are in the works.
  • Key job responsibilities Data Engineers focus on managing data requests, maintaining operational excellence, and enhancing core infrastructure.
  • 1+ years of data engineering experience - Experience with SQL - 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)
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
  • If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Collected minimum qualification

- 1+ years of data engineering experience - Experience with SQL - 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)

Collected preferred qualification

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Collected experience requirement

1+ years