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We are looking for Senior AWS Data Engineers who have worked in highly scalable cloud environments. Location: Newark, NJ. Must be willing to work on site 2-3 days a week in Newark, NJ.
Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprises
Programming experience with Python, Shell scripting and SQL
Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Candidates must have experience with AWS Step Functions.
Solid experience implementing solutions on AWS based data lakes.
Experience in AWS data lake/data warehouse/business analytics
Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
Knowledge of ETL/ELT
End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
Architect and implement CI/CD strategy for EDP
Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
AWS Solutions Architect or AWS Developer Certification preferred
Requirements:
5+ Years of experience as Data application developer
MUST have good experience with AWS Services – Glue, Lambda, Step Functions, SQS, DynamoDB, S3, Redshift.
Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience