We are seeking a Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you will design and implement data solutions to manage, process, and analyze financial data at scale, supporting functions like risk management, customer analytics, fraud detection, and regulatory compliance. Responsibilities Design and build enterprise-scale data pipelines processing billions of transactions daily Optimize Hadoop/Spark ecosystems for performance and reliability Develop real-time data streaming solutions using Kafka/Flume Implement data governance and quality frameworks for financial data Collaborate with data scientists to productionize ML models Modernize legacy data systems to cloud-native architectures (AWS/GCP) Ensure solutions meet banking security and compliance standards (CCAR, BCBS 239) Qualifications Minimum 9+ years of experience in Big Data technologies Experience with Hadoop, Spark, Hive, Impala Proficiency in cloud platforms such as AWS (EMR, S3, Glue) or GCP (Dataproc, BigQuery) Programming skills in Scala, Python, or Java Knowledge of data modeling with SQL and NoSQL databases like HBase and Cassandra Experience with CI/CD tools such as Git, Jenkins, Terraform Banking or financial services experience Knowledge of data mesh, warehouse, or lakehouse architectures Certifications like AWS/GCP Data Engineer or Cloudera/DataBricks are a plus Additional Information Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT This job is active and accepting applications. #J-18808-Ljbffr