Amazon Data Engineer IES Shopping - Analytics Science Team AST 

India, Karnataka 

591429243

This role is part of the rekindle returnship program. Key job responsibilities
You will build data analytics solutions to address increasingly complex business needs. This includes implementing and operating stable, scalable data flow solutions from production systems into end-user applications and reports. These solutions must be fault-tolerant, self-healing, and adaptive. You will face unique challenges around space, size, and speed, requiring the use of cutting-edge analytics patterns and technologies like AWS EMR, Lambda, Kinesis, and Spectrum. Extracting structured and unstructured data from various sources, you will construct complex analyses and write scalable, high-performance code. Your data flow solutions will process data on Spark and Redshift, storing it in Redshift and S3 for reporting and ad-hoc analysis.

- 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.