JT
Data Engineer - AWS, python
JSR Tech Consulting
🇺🇸 United States
Hybrid
4 months ago
- AWS
- Python
- SQL
- CloudFormation
- Athena
- EMR
- RDS
- Redshift
- DynamoDB
- Step Functions
- IAM
- KMS
- API Gateway
- SQS
- Elasticsearch
- AWS Lambda
- ETL
- ELT
- CI/CD
- Kinesis
- Amazon RDS
- Aurora
- System Design
- Unit Testing
4 months ago
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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Data Engineer - AWS, python · JSR Tech Consulting