About the Role:We are seeking a Data Engineer with strong AWS expertise to design, develop, and implement data pipelines and integrations for ingesting and processing data from various IWMS platforms into AWS RDS. This role requires expertise in building scalable, secure, and resilient data ingestion solutions using AWS-native services, along with the ability to create custom integration adapters using web services and serverless functions.The ideal candidate will enforce industry best practices for data auditing, error handling, security (including Row-Level Security), and operational monitoring to ensure future production stability and data integrity.Key Responsibilities:Design and build data pipelines to extract, transform, and load (ETL) data from IWMS systems (e.g., TRIRIGA, ARCHIBUS, Planon) into AWS RDSDevelop integration adapters using Web Services and custom functions leveraging Java or Python, as neededUtilize AWS services such as Lambda, Glue, Step Functions, S3, and others for data processing and orchestrationDevelop frameworks for batch and near real-time data ingestion, integrating with external and internal systemsImplement industry best practices for data ingestion, auditing, error handling, Row-Level Security (RLS), and operational loggingEnsure data accuracy, consistency, security, and traceability across all data pipelines and processesCollaborate with business analysts, product teams, and technical stakeholders to define data mapping, transformation logic, and integration specificationsProactively troubleshoot, optimize, and tune data workflows for performance, scalability, and reliabilityEnforce data security, compliance, and governance standards within all integration and data pipeline solutionsRequired Skills & Qualifications:3-7 years of experience as an AWS Data EngineerStrong hands-on experience with AWS services like Glue, Lambda, RDS, Step Functions, and S3Proficiency in developing integration solutions using Web Services (REST/SOAP) and building custom adapters using Java or PythonStrong expertise in SQL and Python for data processing, transformation, and workflow orchestrationExperience handling JSON, XML, and API-based integrationsFamiliarity with enterprise data integration practices, including auditing, error handling, and enforcing data security policies like RLSExperience integrating data from IWMS or ERP platformsGood to Have:Prior experience with IWMS platforms such as IBM TRIRIGA, ARCHIBUS, or Planon Familiarity with big data technologies like Spark, Hive, or PySparkAWS certification (e.g., AWS Certified Data Analytics Specialty, Solutions Architect, or Developer Associate)Apply for Position Or refer someoneShare Facebook Line LinkedIn X (Formerly Twitter) Whatsapp Email
