AWS Data Engineer

Newark, NJ, United States (On-site)

Contract (3 months)

Published 28 minutes ago

data warehouse architecture

apache spark

Data Pipeline Development

Terraform (IaC)

AWS Data Engineering

SQL

DevOps & CI/CD

Python

ETL/ELT

dynamodb

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 CICD strategies for enterprise data platforms
• Collaborate with product operations QA and crossfunctional 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:

• Bachelors 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 ETLELT 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 infrastructureascode tools eg Terraform CloudFormation
• Experience with DevOps practices and CICD pipelines
• Experience implementing endtoend streaming solutions Amazon Kinesis SQS Kafka
• AWS Solutions Architect or AWS Developer Certification preferred
• Understanding of Lakehousedata cloud architecture
• Knowledge of data governance and compliance standards

The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.