AWS Data Engineer - JSR Tech Consulting
Newark, NJ
About the Job
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.
AWS Data Engineer :
Qualifications:
" 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.
" Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
" Serverless application development using AWS Lambda
" 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
" 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
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.
#LI-JT1
Client is based in Newark, NJ .
Must be willing to work on site 2-3 days a week in Newark, NJ.
AWS Data Engineer :
Qualifications:
" 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.
" Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
" Serverless application development using AWS Lambda
" 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
" 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
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.
- PLEASE NOTE : JSR uses ONLY this URL www.jsrtechconsulting.com
*** Reply only to a representative from JSR by checking the email address. First initial/last name@jsrtechconsulting.com
#LI-JT1
Source : JSR Tech Consulting
