Data Engineer, MIDAS, Digital Acceleration
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
Amazon's Digital Acceleration organization is seeking a skilled Data Engineer to build foundational analytical datasets influencing product decisions. The role requires strong data engineering skills in ETL, data modeling, and big data solutions, alongside business acumen and communication abilities. You will leverage AWS services and internal tools to develop and improve data products and pipelines.
Responsibilities
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.)
- Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
- Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations.
Requirements
- 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)
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.
#Data Engineering#Analytics#AWS#ETL#Data Modeling#Big Data
Company
Amazon
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Chennai, India
Applicants
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