Data Engineer - AWS

JSR Tech Consulting

Newark, NJ

Apply

JOB DETAILS

SALARY

$60–$70 Per Hour

SKILLS

AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Best Practices, Big Data, Cloud Architecture, Cloud Computing, Code Reviews, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Data Analysis, Data Management, Data Migration, Data Modeling, Data Processing, Data Quality, Data Science, Data Warehousing, Data Warehousing Applications, Database Extract Transform and Load (ETL), Detail Oriented, DevOps, Elasticsearch, Electronic Medical Records, Engineering, File Systems, Maintain Compliance, Management of Information Systems/Technology (MIS), Problem Solving Skills, Python Programming/Scripting Language, Quality Assurance, Regulatory Compliance, Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Simple Queue Service (SQS), Software Development, Software Development Lifecycle (SDLC), Software Engineering, Systems Analysis, Team Player, Test Plan/Schedule, Unit Test, Unix Shell Programming, Use Cases

LOCATION

Newark, NJ

POSTED

30+ days ago

Contract positions for a major investment firm.
Hybrid work environment in Newark, NJ.

Data Engineers (AWS)
Job Summary:
We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.
Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.
Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.
Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.
Participate in the architecture and system design discussions for high-scale data engineering projects.
Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.
Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.
Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.
Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
Architect and implement CI/CD strategies for enterprise data platforms.
Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.
Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.
Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.

Required Qualifications:

Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
Strong programming experience with Python, Shell scripting, and SQL.
Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
Experience in serverless application development and data pipeline orchestration.
Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
Knowledge of ETL/ELT, data modeling, and big data technologies.
Familiarity with data warehousing concepts and cloud-based architecture.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Preferred Qualifications:

Experience with additional AWS services: API Gateway, ElasticSearch, SQS.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Experience with DevOps practices and CI/CD pipelines.
Experience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka).
AWS Solutions Architect or AWS Developer Certification preferred.
Understanding of Lakehouse/data cloud architecture.
Knowledge of data governance and compliance standards.

payrate 60 - 70 per hour, depending on experience.

#LI-PP1

Data Engineer - AWS

JSR Tech Consulting

Newark, NJ

About the Company

JSR Tech Consulting

Similar Job Searches