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Medium competition: niche SSIS+GenAI skills but mid-level, metro location and strong brand.
Medium — core data engineering skills transfer easily, but retirement-domain expertise increases specificity.
High due to explicit 5+ years and mandatory technical stack (Python, SQL, SSIS/SSRS).
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Lead analytical workstreams from requirements gathering to delivery, including stakeholder presentations.
Design and develop data pipelines, transformation processes, and AI-enabled analytical models using SQL, Python, and cloud technologies.
Coach and mentor junior team members; automate and improve delivery processes using AI and reusable assets.
5+ years of experience in data analytics, data engineering, AI, or related technology disciplines.
Advanced skills in Python and SQL; experience with Agile, Scrum, Jira, Confluence, SSIS, SSRS, and Visual Basic.
Practical experience with GenAI, machine learning, or AI-assisted development tools.
Hybrid work model based in Gurgaon/Noida; at least three days per week in office; applicants must be flexible with shift work.
Experience leading small workstreams and coordinating multiple stakeholders in complex data solutions.
Strong communication skills to translate technical concepts to business audiences and drive adoption.
Domain experience or interest in retirement and wealth management data workflows preferred but not explicitly required.