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Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
Requirements
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of Strong Experience of .NET FULL STACK, C#, ASP.NETCORE MVC, API Development, Python, SQL SERVER, OCP(Containerization/Dockers), REACT/ Angular, GCP, LLMs, Agentic AI Tools
3+ Experience on Python or other scripting languages
Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes large throughput of data
Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Agentic AI frameworks like ADK, GCP vertex AI and NLP
Hands-on experience with GCP or other cloud platforms (AWS/Azure)
Familiarity with CI/CD pipelines, infrastructure as code and cloud deployment best practices
Ability to conduct code reviews with focus on testability and code coverage
Should have executed end to end projects in data engineering
Should have experience working in an Agile environment using Scrum or Kanban