AWS Data 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 Big Data technologies.
Experience in collaborating data quality and data governance teams.
Payments domain knowledge
CRM, Accounting, etc. in depth understanding
Regulatory reporting exposure

Other skills:
Good Communication skills
Team Player
Problem solver
Willing to learn new technologies, share your ideas and assist other team members as needed
Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.