141 applicants

Company

Original Job Post

JSR Tech Consulting · 2 days ago

AWS Data Engineer

Newark, NJ

Full-time

Onsite

Entry, Mid Level

3+ years exp

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Responsibilities

Designing, building and maintaining efficient, reusable, and reliable architecture and code.

Build reliable and robust Data ingestion pipelines (within AWS, onprem 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWSPythonShell ScriptingSQLCloudFormationS3AthenaEMR/SparkRDSRedshiftDynamoDBLambdaStep FunctionsIAMKMSSMETL/ELTCI/CDEDPServerless Application DevelopmentAmazon KinesisSQSKafkaRelational DatabasesAPIsPOCsLakehouse/Data Cloud ArchitectureAWS Solutions ArchitectAWS Developer Certification

Required

Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience

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 etc.

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

Serverless application development using AWS Lambda

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

Good understanding of Lakehouse/data cloud architecture