Data Engineer (PySpark & Data Modeling)

We are looking for a skilledData Engineerwith strong expertise inPySpark and Data Modelingto join our Data & Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.Key ResponsibilitiesDesign, develop, and maintain scalabledata pipelines using PySparkPerformdata modeling(conceptual, logical, and physical) for analytics and reportingBuild and optimizeETL/ELT workflowsfor large-scale datasetsWork with structured and unstructured data across multiple sourcesEnsure data quality, integrity, and governance standardsCollaborate with data analysts, scientists, and business stakeholdersOptimize performance of Spark jobs and data processing systemsSupport deployment and monitoring of data solutions in productionRequired Skills & QualificationsStrong experience inPySpark and Apache Spark ecosystemHands-on experience indata modeling (Star Schema, Snowflake, etc.)Proficiency inSQL and database technologiesExperience withdata warehousing conceptsKnowledge ofETL/ELT tools and frameworksFamiliarity withcloud platforms (AWS / Azure / GCP)is a plusUnderstanding ofbig data technologies (Hadoop, Hive, Kafka, etc.)Strong problem-solving and analytical skillsPreferred QualificationsExperience inbanking/financial services domainExposure todata governance and data quality frameworksKnowledge ofCI/CD pipelines and DevOps practices#J-18808-Ljbffr