AWS Engineer

Required Skills: ·
6-9 years of experience in Data Engineering ·
Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data
· Creation of necessary infrastructure for ETL jobs from a wide range of data sources using, S3, Snowflake and AWS data services
· Experience in Data storage technologies like Amazon S3, SQL, NoSQL
· Hands on experience in writing complex SQL.
· Hands on experience in developing pipelines using AWS data services like Glue, Lambda · Develop, manage, and optimize data pipelines using AWS Glue and PySpark.
· Hands on experience in Optimizing AWS services for cost-effectiveness and performance.
· Data modeling technical awareness · Experience in working with stakeholders working in different time zones Good to have:
· Working knowledge on using Bigdata technologies.
· Experience in collaborating data quality and data governance team.
· Payments domain knowledge· CRM, Accounting, etc. in depth understanding
· Regulatory reporting exposure