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