{"id":3136135,"url":"https://alion.io/job/lorven-technologies-aws-data-engineer-newark-de","title":"AWS Data Engineer - Newark, DE","company":{"id":678670,"name":"Lorven Technologies","domain":"lorventech.com","url":"https://alion.io/company/lorventech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Newark, United 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closely with data scientists analysts and other business stakeholders to deliver robust data solutions\n\r\r\rKey Responsibilities\n\r\r\rDesign build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWS\n\rBuild 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\n\rDevelop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and security\n\rArchitect and implement end to end data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehouses\n\rParticipate in the architecture and system design discussions for high scale data engineering projects\n\rIndependently perform hands on development unit testing and participate in code reviews to ensure adherence to best practices\n\rImplement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologies\n\rMigrate data from traditional relational databases file systems and APIs to AWS based data lakes S3 RDS Aurora and Redshift\n\rImplement high velocity streaming solutions using Amazon Kinesis SQS and Kafka preferred\n\rArchitect and implement CICD strategies for enterprise data platforms\n\rCollaborate with product operations QA and cross functional teams throughout the software development cycle\n\rStay abreast of new technology developments implement POCs for new tools technologies and onboard them for real world use cases\n\rIdentify and resolve performance issues and continuously optimize for cost reliability and scalability\n\r\r\rRequired Qualifications\n\r\r\rBachelor’s degree in Computer Science Software Engineering MIS or equivalent combination of education and experience\n\r5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprises\n\rStrong programming experience with Python Shell scripting and SQL\n\rSolid experience with AWS services CloudFormation S3 Athena Glue EMR Spark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets Manager\n\rExperience in serverless application development and data pipeline orchestration\n\rExperience in system analysis design development and implementation of data ingestion pipelines in AWS\n\rKnowledge of ETLELT data modelling and big data technologies\n\rFamiliarity with data warehousing concepts and cloud-based architecture\n\rStrong problem-solving skills and attention to detail\n\rExcellent communication and teamwork abilities\n\r\r\rPreferred Qualifications\n\r\r\rExperience with additional AWS services API Gateway Elastic Search SQS\n\rExperience with infrastructure as code tools e.g., Terraform CloudFormation\n\rExperience with DevOps practices and CICD pipelines\n\rExperience implementing end to end streaming solutions Amazon Kinesis SQS Kafka\n\rAWS Solutions Architect or 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