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AWS Data Engineer

2 months ago

Newark, United States JSR Tech Consulting Full time

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 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.