AWS Data Engineer - Newark, DE

Job Title: AWS Data Engineer

Location: Newark, DE

Job description:             

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 ETLELT 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 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 ETLELT data modelling 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 Elastic Search SQS
• Experience with infrastructure as code tools e.g., Terraform CloudFormation
• Experience with DevOps practices and CICD 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