Data Engineer I, Payfort, Payfort
ADCI MAA 15 SEZ - K20•4h ago
IN, TN, ChennaiOnsiteFull-timeEntry Level1+ yrs exp
Top focus
Data EngineerVp Data
- 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
- enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps
- 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)
- 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.
Required skills
data modelingwarehousingETLSQLPL/SQLDDLMDXHiveQLSparkSQLScalaPythonHadoopHiveSparkEMR