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You will play a pivotal role in shaping\ndata integration strategies, ensuring high data quality, and enabling critical\ninsights for compliance and business intelligence across cloud and on-premise\nenvironments.\nKey Responsibilities:\nDesign,implement, and maintain ETL/ELT data pipelines to move structured and\nunstructured data from RDBMS, NoSQL (MongoDB, etc.), and APIs to the\nenterprise data lake\n\nBuildreusable components and frameworks for batch and streaming data ingestion\n\nWorkclosely with business analysts and data scientists to understand data\nrequirements and translate them into data architecture solutions\n\nMonitordata pipeline performance and troubleshoot issues to ensure timely and\naccurate data delivery\n\nEnsurecompliance with data governance and regulatory data standards (e.g., BCBS\n239, CCAR, GDPR)\n\nDocumentdata flows, lineage, and technical metadata\n\nRequired Qualifications:\nBachelor'sor Master’s degree in Computer Science, Information Systems, or related\nfield\n\nMinimum7 years of experience in data engineering roles\n\nStrongexperience with data pipeline tools like Apache NiFi, Airflow, Spark,\nKafka, or AWS Glue\n\nProficiencyin SQL and scripting languages (e.g., Python, Scala)\n\nDeepunderstanding of RDBMS (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB,\nCassandra), and cloud-native data platforms (AWS, Azure, or GCP)\n\nExperiencewith cloud data storage (e.g., S3, ADLS), and compute services (e.g., EMR,\nDatabricks, BigQuery)\n\nPriorexperience supporting regulatory reporting data initiatives is a strong\nplus\n\nPreferred Experience:\nFamiliaritywith data quality frameworks and tools\n\nExposureto data cataloging and metadata management tools\n\nFinancialservices domain experience, especially with transaction platforms\n\nUnderstandingof data security and encryption best practices\n\nWhat We Offer:\nOpportunityto work on enterprise-scale data engineering challenges\n\nCompetitivecompensation and benefits\n\nFlexibleworking 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