AWS Data Engineer
JSR Tech Consulting - newark, NJ
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About the Company: JSR has an immediate opening for their direct client, a Fortune 100 Financial Services client, for an AWS Data Engineer. Client is based in Newark, NJ. Must be willing to work on site 2-3 days a week in Newark, NJ.About the Role: AWS Data Engineer:Qualifications: Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experienceExperience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprisesProgramming experience with Python, Shell scripting and SQLSolid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMRSpark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.Solid experience implementing solutions on AWS based data lakes.Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticsearchServerless application development using AWS LambdaExperience in AWS data lakedata warehousebusiness analyticsExperience in system analysis, design, development, and implementation of data ingestion pipeline in AWSKnowledge of ETLELTEnd-to-end data solutions (ingest, storage, integration, processing, access) on AWSArchitect and implement CICD strategy for EDPImplement 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 RedshiftMigrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and RedshiftImplement POCs on any new technology or tools to be implemented on EDP and onboard for real use-caseAWS Solutions Architect or AWS Developer Certification preferredGood understanding of Lakehousedata cloud architecture 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 projectParticipate in the architecture and system design discussionsIndependently 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, QEQA and cross functional teams to deliver a project throughout the whole software development cycle.Responsible to identify and resolve any performance issuesKeep up to date with new technology development and implementationParticipate in code review to make sure standards and best practices are met.
Created: 2024-09-22