Data Engineer, Amazon
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Posted on:
2 days ago
Vacancies:
1 Vacancy
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Job Summary
Amazons Amazon Payments organization is seeking a highly quantitative experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced this position you will be a key contributor and sparring partner developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses.
Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe China US and other regions. You should be highly analytical resourceful customer focused team oriented and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced dynamic business environment is strongly preferred.
Key job responsibilities
Design develop implement test and operate large-scale high-volume high-performance data structures for analytics and Reporting.
Implement data structures using best practices in data modeling ETL/ELT processes and SQL AWS Redshift and OLAP technologies Model data and metadata for ad hoc and pre-built reporting.
Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers.
Interface with business customers gathering requirements and delivering complete reporting solutions.
Collaborate with Analysts Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis and machine learning.
Participate in strategic & tactical planning discussions including annual budget processes.
Communicate effectively with product/business/tech-teams/other Data teams.
- 2 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe China US and other regions. You should be highly analytical resourceful customer focused team oriented and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced dynamic business environment is strongly preferred.
Key job responsibilities
Design develop implement test and operate large-scale high-volume high-performance data structures for analytics and Reporting.
Implement data structures using best practices in data modeling ETL/ELT processes and SQL AWS Redshift and OLAP technologies Model data and metadata for ad hoc and pre-built reporting.
Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers.
Interface with business customers gathering requirements and delivering complete reporting solutions.
Collaborate with Analysts Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis and machine learning.
Participate in strategic & tactical planning discussions including annual budget processes.
Communicate effectively with product/business/tech-teams/other Data teams.
- 2 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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