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AWS Data Engineer

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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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: NJ_ADEW_0715
Posted 15 hours ago

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