Data Engineer (Data Integration)

About ValleysoftValleysoft is an IT services provider delivering enterprise technology, application development, process management, and IT support solutions to clients worldwide. Operating across the Information Technology and Services sector, the company partners with organizations on complex digital transformation initiatives and business-critical systems that support day-to-day operations and long-term growth.Job SummaryThe Data Engineer (Data Integration) will be responsible for designing, developing, and maintaining enterprise data integration solutions that enable the efficient movement of data from operational and external source systems into the business intelligence and analytics environment. The role requires strong expertise in ETL development, data integration, data transformation, and data quality using enterprise integration tools such as Informatica, IBM DataStage, or Ab Initio.This position is an on-site role based at the Administrative Control Authority (ACA) in the New Administrative Capital.RequirementsKey ResponsibilitiesDesign, develop, and maintain enterprise data integration and ETL solutionsBuild Extract, Transform, and Load (ETL) processes to integrate data from multiple operational and external source systemsDevelop data mappings, transformation logic, workflows, and reusable integration componentsEnsure data quality, integrity, consistency, and completeness throughout the data integration lifecycleMonitor, troubleshoot, and optimize ETL jobs for performance, scalability, and reliabilityCollaborate with business analysts, data architects, BI developers, and application teams to understand data requirementsSupport data migration, reconciliation, validation, and production deploymentsParticipate in data modeling, data profiling, and metadata management activitiesDevelop and maintain technical documentation, ETL specifications, and operational proceduresSupport production issues, root cause analysis, and continuous improvement initiativesRequirementsBachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related fieldRelevant certifications in Informatica, IBM DataStage, or other data integration technologies are a plus7+ years of experience in Data Engineering, Data Integration, or ETL DevelopmentProven experience delivering enterprise-scale data integration projectsHands-on experience with at least one leading ETL tool such as Informatica PowerCenter, IBM DataStage, or Ab InitioExperience working with large-scale enterprise data warehouse or business intelligence environmentsMust-Have RequirementsMin 3 years of experience in Data Engineering or Data IntegrationStrong hands-on experience with Informatica PowerCenter, IBM DataStage, or Ab InitioStrong knowledge of ETL design, development, and optimizationExperience with SQL and relational database management systems such as Oracle, SQL Server, or PostgreSQLExperience working with Data Warehousing and Business Intelligence environmentsStrong understanding of data integration architecture, data mapping, transformation, and data validationExperience with performance tuning and troubleshooting ETL workflowsKnowledge of data quality, data governance, and metadata management principlesExcellent analytical, problem-solving, and communication skillsAbility to work effectively in a collaborative, cross-functional environmentFluent in English, both written and spokenGood-to-Have RequirementsExperience with cloud-based data integration platforms (Azure, AWS, or Google Cloud)Familiarity with Big Data technologies such as Hadoop or SparkExperience with Python or Shell scripting for ETL automationKnowledge of CI/CD pipelines and DevOps practices for data engineeringExperience in government, financial services, or large enterprise environmentsExperience with data governance frameworks and enterprise data management