Senior Data Engineer

Key ResponsibilitiesSupport and maintain enterprise data engineering, ETL, data quality, metadata, and governance platforms.Develop, monitor, troubleshoot, and optimize Informatica workflows, mappings, applications, and data pipelines.Administer Informatica domains, nodes, repositories, Integration Services, and related application services.Support Informatica PowerCenter, BDM or DEI, IDQ, and EDC or Axon components in production and non-production environments.Investigate failed jobs, data-quality exceptions, performance issues, and platform incidents; complete root-cause analysis and implement appropriate corrective action.Support Cloudera Hadoop services and data processing across HDFS, Hive, Spark, and PySpark workloads.Perform deployments and migrations across development, quality assurance, user acceptance testing, and production environments.Use Linux, shell scripting, and SQL to automate routine tasks, validate data, and troubleshoot platform issues.Support user access, security, and permissions in line with established controls and operating procedures.Coordinate incident resolution and planned changes with application, database, infrastructure, business intelligence, and business stakeholders.Maintain accurate operational documentation, handover notes, change records, and support procedures.Skill RequirementInformaticaPowerCenter and BDM or DEI; administration of domains, nodes, repositories, Integration Services, and application services; ETL development, monitoring, troubleshooting, and performance tuning; IDQ; EDC or Axon.Big DataCloudera or Hadoop; HDFS; Hive; Spark or PySpark.Core Platform SkillsLinux or Unix; shell scripting; advanced SQL; Oracle or Microsoft SQL Server; data warehouse or data lake environments; enterprise production support.Informatica MDM or IICSKafka, Impala, NiFi, Kerberos, or RangerPythonMicrosoft Azure, Azure Data Factory, Databricks, or SnowflakePower BI, Vertica, or KubernetesExperience10+ years of relevant experience in data engineering, Informatica development, Informatica administration, or closely related roles.Strong hands-on experience supporting enterprise production environments and resolving data-platform incidents independently.Demonstrated experience across both Informatica and Cloudera or Hadoop environments.Experience working with high-volume data pipelines, data warehouses, or data lakes.Exposure to UAE or GCC enterprise or government environments is advantageous.