Senior Data Engineer & Data Analytic Consulting Manager (Life and Annuity)
Advise on architectural decisions and design. Participate in design workshops. Create integration and application technical design documentation. Conduct peer-reviews of functional design documentation Provide guidance on intended solution and best practices during development, configuration, and testing phases. Complete development, configuration, and unit testing of high complexity areas Perform code reviews and ensure standards are applied to each solution component. Resolve complex defects during testing phases. Provide guidance to developers in resolving defects. Support and execute performance testing. Provides guidance on infrastructure and environment setup. Production Support: Assist in troubleshooting production environment and tuning environments. Ensures best practices are followed from a technical perspective during all phases of the project. At least 8 to 10 years of overall IT experience. 5+ years relevant experience in design and development complete end-end to design of enterprise-wide big data solution. Experience in designing & developing a big data solution using Spark, Scala, AWS Glue, Lambda is a must. Strong Application development experience in Java/Scala/Python. Strong Database SQL experience, preferably Redshift. Experience in Financial Services, Investment Accounting functions highly preferred. Familiarity with Investments Regularity requirements/reporting is a plus.
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