AWS Data Engineer

Required Skills:6-9 years of experience in Data EngineeringCreation and maintenance of optimum data pipeline architecture for ingestion, processing of dataCreation of necessary infrastructure for ETL jobs from a wide range of data sources using, S3, Snowflake and AWS data servicesExperience in Data storage technologies like Amazon S3, SQL, NoSQLHands-on experience in writing complex SQL.Hands-on experience in developing pipelines using AWS data services like Glue, LambdaDevelop, 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 awarenessExperience in working with stakeholders working in different time zonesGood to have:Working knowledge on using Big Data technologies.Experience in collaborating data quality and data governance teams.Payments domain knowledgeCRM, Accounting, etc. in depth understandingRegulatory reporting exposureOther skills:Good Communication skillsTeam PlayerProblem solverWilling to learn new technologies, share your ideas and assist other team members as neededStrong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.Originally posted on Himalayas