Back
Tier-1 brand, mid-level generalist data role in metro with broad skillset increases candidate competition.
Core data engineering skills are transferable, but retirement/wealth domain expertise increases specificity.
Explicit 5+ years plus mandatory Python/SQL and data engineering skills raise shortlisting rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead analytical workstreams from requirements gathering to delivery and stakeholder presentation across client engagements.
Design and develop data pipelines, transformation processes, and AI-enabled analytical models using Python, SQL, and cloud technologies.
Mentor junior team members and contribute to solution architecture and delivery approaches including automation and AI application.
Minimum 5+ years experience in data analytics, data engineering, AI or related technology disciplines.
Advanced skills in Python and SQL for data engineering, automation, and analytics solution development.
Experience with GenAI, machine learning, AI-assisted development tools, and modern cloud data platforms (e.g., Databricks) is required.
Must be flexible to work onsite in Gurgaon/Noida hybrid setup at least 3 days per week and work in shifts.
Ability to lead small workstreams and coordinate multiple stakeholders in complex data and AI projects.
Experience in retirement/wealth management domain or similar data migration, ETL, and implementation support environments is a plus (implicit from domain focus).
Strong communicator capable of explaining technical concepts to non-technical business stakeholders and mentoring junior members.