Data Engineer New York, NY

Senior Data Engineer--Redshift/AWS/Python/Scripting--- **Will be hybrid onsite in January 2022 onwards** Contract-to-hire

Our client is a cutting edge E-Learning company based in NYC and is looking to hire a Senior Data Engineer to join their data and analytics center of excellence. He/She will be building and maintaining data processing frameworks and will work closely with the data science and visualization teams. The successful engineer will be responsible for data architecture and pipeline design and must have strong skills in data modelling and query optimization.  Our clients environment is state of the art! They are continuously incorporating continually evolving technologies, including the AWS stack, Salesforce, SAS, etc. Responsibilities: Design, build and maintain all facets of Data Pipelines for Data Engineering team. Lead the development of ETL processes to integrate data from a wide variety of sources including S3 objects, Kafka, REST APIs and SQL Server Refine and enhance the in-house built Python data management framework Develop strong relationships with key business sponsors and other technology teams to collaboratively solve complex problems Requirements: 5+ years of Data Engineering or Data Lake Architect experience on the AWS platform Deep knowledge of AWS Services such as S3, EMR, Redshift, Data Pipeline, RDS, DynamoDB, STEP functions, Lambda Advanced SQL knowledge for Redshift ETL process design and implementation on AWS Streaming data processing (Kafka) Bachelors degree or higher in Computer Science, Information Systems, Information Technology, or related Engineering field