AWS Data EngineerLocation: Malvern, PA, 19355Job Type: FulltimeSalary: $120,000-$130,000 a year+ benefitsKey Technical SkillsPythonAWS Glue (Glue ETL)PySparkAttunity / Qlik ReplicateAWS Services: Amazon S3, IAM, Lambda, CloudFormationRoles & ResponsibilitiesDesign, develop, and maintain scalable ETL and data integration pipelines using AWS Glue, PySpark, and Python.Develop and optimize data transformation workflows to process large datasets from multiple source systems.Utilize Attunity/Qlik Replicate for real-time and batch data replication between on-premises and AWS cloud environments.Build and manage data lakes using Amazon S3 while ensuring data quality, security, and governance.Develop serverless data processing solutions using AWS Lambda and integrate them with other AWS services.Configure and manage IAM roles, policies, and permissions for secure access to AWS resources.Automate infrastructure provisioning and deployments using AWS CloudFormation.Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and AWS resources for performance and reliability.Collaborate with business, analytics, and application teams to gather requirements and deliver scalable data solutions.Support CI/CD processes, participate in code reviews, and maintain technical documentation following best practices.Preferred Soft SkillsStrong planning and execution capabilitiesExcellent stakeholder management and communication skillsCross-functional collaborationAnalytical decision-making and problem-solvingOwnership and leadership mindsetRisk and issue managementCustomer and business-focused approachMentoring and knowledge sharingAbility to adapt to changing project requirementsDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.
We promote and support a diverse workforce across all levels in the company.