CONTD FROM F.6A MMPS Compensation Survey US Report 9132021br br CONTD FROM H.10B performing software development and providing technical leadership for data engineering and warehousing systems within the financial services and asset management industries.br br Education and Experiencebr br Bachelors degree or foreign education equivalent in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and six 6 years of experience in the job offered or six 6 years of experience performing software development and providing technical leadership for data engineering and warehousing systems within the financial services and asset management industries.br br Or, alternatively, Masters degree or foreign education equivalent in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and four 4 years of experience in the job offered or four 4 years of experience performing software development and providing technical leadership for data engineering and warehousing systems within the financial services and asset management industries.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE designing, building, and managing data engineering and warehousing systems; creating conceptual, logical, and physical OLAP and OLTP data models; building PLSQL packages, using Bulk Binding, Associative Arrays, Nested Tables with parallel processing, and transaction control techniques; performing SQL performance optimization, using TKPROF and AWR; and building complex ETL and ELT workflows with parallel processing to acquire and consume data from large internal and external heterogeneous data sources, using Informatica, PowerCenter, Normalizers, Transaction Control, Update Strategy, Dynamic Lookup, and XML transformations and partitioning.br br DE managing data engineering projects supporting all aspects and phases of the Software Development Life Cycle SDLC according to Agile methodologies; gathering business requirements and translating them to technical and architectural design and implementation specifications; grooming, prioritizing, and building backlogs and roadmaps; and collaborating with internal and external partners and support teams driving technical strategy, and software development and delivery, while ensuring stability and reliability.br br DE designing, building, and managing multifaceted data engineering solutions for investment management and portfolio management functions; performing financial services and asset management data analysis; mining business insights, using data profiling and visualization techniques; and establishing and driving organization wide strategic initiatives to ensure data and code quality, data engineering practices and automation, and Continuous Delivery and Deployment, using Sonar, Crucible, Git, Stash, Jenkins, Jira, Maven, and uDeploy.br br DE leading data management projects; hiring and supervising individual contributors and technical leads responsible for building and supporting data solutions; building, managing, and coordinating global distributed development teams; planning and managing team structure, budget, and resources; and providing technical and soft skills training, actionable feedback, mentorship, and career coaching.
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