USI Tax & Legal Technology team develops and maintains products built on varied technologies. USI ITS has various groups which provide the best of the breed solutions to the clients by following an agile system development methodology. This position is specifically for the Tax & Legal Digital Asset Factory team.
If you are a technology enthusiast and looking forward to working on the latest and in-demand technology stack and want to make an impact on Digital transformation, then this role is for you.
Work you'll do
As a Software Specialist Engineer II on the Tax & Legal Digital Asset Factory team, you will be responsible for…
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Participate in generative AI projects, contributing to the architecture and implementation of AI/ML solutions
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Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python
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Collaborate with data scientists and analysts to understand data needs and ensure data availability for analytics projects
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Implement best practices for data governance, data quality, and security
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Develop and optimize data models to support analyses, reporting, and visualizations
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Create and maintain documentation for data processes, workflows, and data models
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Assist in troubleshooting data issues and optimizing data workflows for performance
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Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions
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Stay current with emerging technologies and industry trends related to data engineering and analytics
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Share experience and knowledge with team members
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Other duties as assigned
The team
Do you want DIGITAL challenges and FUN? Do you want to make an IMPACT in digital transformation? Join the Tax and Legal Digital Asset Factory!
The vision of the Digital Asset Factory is to Accelerate our Tax & Legal market leadership by delivering unparalleled value through AI-powered innovation. Navigating our regulated business and robust guardrails, positioning us as responsible innovation leaders. The team supports this vision by leveraging latest technology and Artificial Intelligence to create innovative solutions that differentiate from competition through increased efficiency, quality and an end-to-end globally consistent digital experience.
All team members are expected to proactively apply artificial intelligence (AI) tools and technologies in their daily work to enhance efficiency, accuracy, and productivity. This includes leveraging AI-powered solutions such as GitHub Copilot, Copilot4DevOps, and other relevant platforms to prepare and accelerate deliverables, rather than solely relying on manual creation followed by AI validation. A mindset of continuous AI adoption and innovation is essential to drive smarter workflows and faster outcomes. Additionally, team members will contribute actively to the AI enablement initiatives within the technology function, supporting the integration, optimization, and scaling of AI capabilities across projects and processes.
Location: Hyderabad
Shift Timings: 11 AM to 8 PM
Qualifications
Required:
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Bachelor or Master’s degree in Computer Science or other relevant domain
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3+ years of experience in data engineering or a similar role
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Proficiency in Databricks and/or Alteryx for data processing and analytics
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Strong programming skills in Python, with a solid understanding of data manipulation libraries (e.g., Pandas, NumPy)
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Experience with SQL and relational databases (e.g., SQL Server) as well as NoSQL databases (e.g., Azure Cosmos DB)
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Familiarity with Azure and its data services
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Experience with data visualization tools, preferably PowerBI, to create insightful dashboards and reports
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Understanding of modern data architectures and frameworks, including data warehousing and data lakes
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Strong analytical and problem-solving skills with attention to detail
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Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
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Result driven, able to work against deadlines
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Capable of working in a dynamic project environment
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Able to work independently as well as in team
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Willing to learn and apply new technologies and best practices
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Fluent in English
Preferred:
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Knowledge of data science methodologies and experience working on GenAI projects
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