AWS Data Engineer

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