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Job Title: PySpark Data EngineerLocation: Bangalore Experience: 5+ Years Employment Type: Permanent (Full-Time) Notice Period: Currently Serving 30 Days / Immediate to 30 Days PreferredAbout the CompanyOur client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.Job DescriptionMust Have Skills:PySparkInformatica BDM (Big Data Management)SQLETL / ELT DevelopmentBig Data Technologies (Hadoop / Spark)Data ModelingBanking / Financial Services DomainMinimum Qualifications:Bachelor’s degree in Computer Science, IT, or related field5+ years of experience in Data Engineering or related rolesStrong hands-on experience with PySpark for large-scale data processingExperience in ETL/ELT development and workflow orchestrationSolid experience with Informatica BDMStrong knowledge of SQL and data modeling conceptsPreferred Qualifications:Experience with data lake and data warehouse architecturesExposure to cloud platforms or big data ecosystemsKnowledge of data governance, security, and compliance (Banking domain)Experience working in Agile environmentsHands-on experience with Python-based data engineering frameworksResponsibilities:Design, develop, and maintain scalable data pipelines using PySparkDevelop and manage ETL/ELT workflows using Informatica BDMCollaborate with data architects, analysts, and stakeholdersOptimize data pipelines for performance and scalabilityImplement data quality, validation, and governance processesIntegrate data from multiple sources (databases, APIs, enterprise systems)Support data warehouse and data lake initiativesEnsure compliance with banking regulatory and security standardsTroubleshoot and resolve data pipeline issues and bottlenecksParticipate in code reviews, testing, and deployment processesDomain Requirement (Mandatory):Experience in Banking or Financial Services domainExposure to regulatory reporting systems or large-scale financial datasetsImportant Note (Please Read Before Applying)