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Data Engineer - AWS, python

JSR Tech Consulting

Newark · On-site Contract Yesterday

About the role

Description: AWS Data Engineer

contract position with a major investment firm. Hybrid 3 days/week in Newark, NJ.

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.

payrate: 60 - 70 per hour depending on experience

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