AWS Data Engineer

We are looking for AWS Data Engineer for our client in Newark, NJ

Job Title: AWS Data Engineer

Job Location: Newark, NJ

Job Type: Contract

Job Overview:

Pay Range: $53hr - $58hr

Requirement/Must Have:

• Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience.
• 1+ years experience implementing, 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, DynamoDB, Lambda, Step Functions, IAM, KMS, SM.

Responsibilities:

• Designing, building and maintaining efficient, reusable, and reliable architecture and code.
• Build reliable and robust Data ingestion pipelines (within AWS, on-prem to AWS, etc.).
• Ensure the best possible performance and quality of high scale data engineering project.
• Participate in the architecture and system design discussions.
• Independently perform hands-on development and unit testing of the applications.
• Collaborate with the development team and build individual components into complex enterprise web systems.
• Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
• Responsible to identify and resolve any performance issues.
• Keep up to date with new technology development and implementation.
• Participate in code review to make sure standards and best practices are met.

Nice to Have:

• Experience in AWS data lake/data warehouse/business analytics.
• 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.
• Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case.
• AWS Solutions Architect or AWS Developer Certification preferred.
• Good understanding of Lakehouse/data cloud architecture.