777 Teradata Jobs - Page 32

8+ years of Data Engineering experience 5+ years of Cloud experience (GCP preferred) with solutions designed and implemented at production scale Strong understanding of key GCP services, especially those related to data processing [Batch/Real Time] Big Query, Cloud Scheduler, Airflow, Postgres, Data Flow, Pub/Sub, Cloud Logging and Cloud Monitoring Experience with infrastructure as code Terraform/ GitHub Experience in design, development and implementation of data pipelines using Data Warehousing applications Experience in integrating various data sources like Oracle, Teradata, DB2, Big Query & Flat files Hands on experience in performance tuning and debugging ETL jobs Involving in review meetings and coordinating with the team in job designing and fine-tuning the job performance. BE/BTech in CS/IT or equivalent degree in relevant domain Proven experience in data engineering [IBM DataStage or equivalent Cloud ETL preferred] Strong knowledge of ETL processes, data integration and data management Proficiency in programming languages such as SQL, Python or Java Familiarity with cloud computing platforms and data storage solutions Excellent problem-solving skills and ability to work independently as we'll as team player Professional Certification in GCP (eg, Professional Data Engineer) Experience in Mainframe to GCP migration considered plus Agile Methodology Practitioner Responsible for gathering business requirements and design ETL systems to meet application needs Work closely with stakeholders to gather requirements and provide technical guidance on the migration process Collaborate with the data engineering teams to understand the existing JCL/ETL jobs and their dependencies. Design and implement migration strategies for moving ETL to GCP native services. Develop, test, and deploy data pipelines and workflows, ensuring scalability, reliability, and performance Troubleshoot and resolve any production issues or challenges that arise during the migration Deliver product features as part of roadmap and business needs Lead in Effort estimation for the new developments and enhancements. Co-create test plan and lead execution and code deployment. Lead performance tuning to optimize the job execution. Responsible for validating, run, scheduling and monitoring jobs using data stage director Responsible for debugging Ticketing issues in the production phase

About this role: Wells Fargo is seeking a Risk Analytics Consultant In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: Financial services experience, in lending, underwriting, servicing. Excellent understanding of Capital markets focusing on counterparty credit risk, CCAR and stress testing. Experience in programming languages such as SAS, SQL, Teradata. Knowledge and understanding of databases and data mining techniques Ability to articulate complex concepts in a clear manner Ability to interact with all levels of an organization and collaborate to build successful relationships Ability to be flexible and adjust plans quickly to meet changing business needs Strong organizational, multi-tasking, and prioritizing skills Ability to take initiative and work independently with minimal supervision in a structured environment Exposure to Wells Fargo origination, servicing and reporting platforms such as MSP, SHAW, and AFS. Exposure to Wealth Management systems Cattalos, STOC, ClientLink, and Optimist. Support the WIM CRO Credit Risk team with risk analytics activities across consumer, mortgage, and custom credit/commercial products. Leverage innovative tools to collect, analyze, and interpret large amounts of data across multiple data environments Identify trends and patterns to inform sound business decisions. Effectively utilize analytical tools to create visualizations and share insights. Learn about many aspects of WIM business through partnerships with various groups including credit policy, underwriting, and servicing. Combine technical skills with business skills to help support the team with end-to-end quality assurance initiatives. Provide quantitative support of credit policy through analysis and impact assessment of prospective quality assurance findings. Develop recurring reporting and ad hoc analysis packages to monitor various product sets across WIM for management.