12 часов назад
Data and Analytics Engineer 2 (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data and Analytics Engineer 2 (AI): Developing databases, queries, reports, dashboards, and analytical tools across modern and legacy data environments with an accent on AI technologies, Lakehouse architecture, AWS, APIs, SSIS, and Microsoft T-SQL. Focus on supporting data modernization, integrating analytics platforms with enterprise systems, troubleshooting production issues, and maintaining data quality.
Location: On-site at the Financial Center in Pittsburgh, Pennsylvania; candidates must be local or willing to relocate to the area. Employment-based visa sponsorship is not available, and candidates must be legally authorized to work in the United States.
Company
is a financial corporation providing banking and business services through technology-enabled data and analytics solutions.
What you will do
- Develop and test databases, queries, views, reports, dashboards, and other analytical solutions.
- Collect, analyze, and share data to improve business metrics, customer experience, and business results.
- Design reporting and analysis tools that improve reporting, planning, forecasting, and operational efficiency.
- Support data conversions, imports, exports, and integrations between internal and external systems.
- Troubleshoot analytics tools and production issues, track performance, and assist with application tuning.
- Document data models, solutions, implementations, metadata, issues, and enhancement requests.
Requirements
- Bachelor’s degree or equivalent relevant experience; two years of commensurate experience may substitute for an associate degree, or four years may substitute for a bachelor’s degree.
- At least three years of related technical experience, including experience supporting a major business intelligence or data warehousing system.
- Expert skills in data analysis and data mining.
- Hands-on experience with AI technologies such as MCP or RAG, Lakehouse architecture, cloud platforms, APIs, SSIS, and Microsoft T-SQL.
- Strong analytical, organizational, interpersonal, multitasking, and customer service skills.
- Legal authorization to work in the United States is required; employment-based visa sponsorship is not provided.
Culture & Benefits
- Work as part of the Technology business unit on cross-functional data-centric projects.
- Collaborate with Business Information and Data Analysts to understand customer needs.
- Follow corporate data policies, regulatory requirements, compliance procedures, and risk management standards.
- Receive general guidance on new projects while exercising judgment within the scope of the role.
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