The posting
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



