AWS Data Engineer

Position: AWS Data Engineer

Experience: 5+ years

Location: Newark, NJ- Hybrid, 3x/week

Interview Process: In-person Interview

Pay Rate: $60 - 75/hr on C2C


Required:


Update:

• Same core tech stack: AWS, PySpark, Python
• Must have strong hands-on development experience.
• AWS certifications are a plus , but not required.

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.


Should you find interest for this role.