Data Engineer I FTC, Payfort

Amazon; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Amazon Payment Services (APS) is hiring a data engineer to help build the next generation of our data platform in Chennai. You will collaborate with product, analytics and engineering teams to design scalable data pipelines, models and data-driven solutions.

The role focuses on managing data requests, maintaining operational excellence and enhancing core infrastructure. You will work with SQL, Python and big data tools to enable fast, accurate insights for business decisions.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL and data modeling, warehousing and ETL pipelines.
• Experience with one or more query language and scripting language.

Responsibilities

• Collaborate with technical and non-technical teams to design and execute roadmaps.
• Manage data requests, maintain operational excellence and enhance core infrastructure.
• Build and optimize data pipelines and data models for scalable analytics.

Skills

SQL

Data Modeling

ETL Pipelines

HiveQL / SparkSQL

Python

KornShell

Tools

Hadoop

Hive

Spark

EMR

Informatica

ODI

SSIS

Datastage

Job description

Want to participate in building the next generation of online payment system that supports multiple countries and payment methods?

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

Basic Qualifications

• 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)

Preferred Qualifications

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

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