Technical Lead

Job Description:

Job Description: Senior Analyst / Analytics Lead

Experience: 8–10 years

Location: Remote (India)

Department: Analytics / Data Science / Risk Analytics

Industry Preference: Financial Services

Role Overview

• Looking for a senior professional (8–10 years) who can work across data engineering and data insights, not just pipeline building
• Role requires someone who can build pipelines, understand data deeply, and generate insights
• Strong focus on data quality, validation, and sense-checking before consumption
• Work in a fast-paced FinTech environment with high ownership and minimal guidance
• Expected to leverage AI and agentic workflows to improve efficiency and outcomes
• Ideal candidate acts as an AI enabler, not just a developer

Key Responsibilities

• Build and manage ETL/ELT pipelines, especially ingesting data via APIs
• Use AI tools (e.g., Claude, Codex) to improve development efficiency
• Work with Snowflake and S3 for scalable data storage and processing
• Perform data validation, QC, and sense-checking to ensure reliability
• Analyse datasets to derive meaningful insights for business decision-making
• Identify data issues, inconsistencies, and resolve them proactively
• Translate business needs into practical and scalable data solutions
• Integrate and manage multiple API-based data sources
• Contribute to or build Agentic AI workflows where applicable
• Take end-to-end ownership of problems with minimal supervision

Required Skills & Qualifications

· 8–10 years of experience in data engineering + data analytics + AI-related roles

· Most important skills are to learn and upskill quickly in newer domains using AI sources and get things done

· Strong proficiency in Python and SQL

· Experience or familiarity with AI coding assistants (Claude, Codex, etc.)

· Experience working with Snowflake and S3 and building API-driven data pipelines

· Strong understanding of data quality, validation, and QC processes

· Ability to analyse data and generate actionable insights

· Exposure to or experience with Agentic AI systems

· Strong problem-solving skills and independent working ability

· Ability to learn quickly and adapt in a rapidly evolving, AI-driven environment

Education

Bachelor’s/master’s degree in engineering, Statistics, Economics, Mathematics, Data Science, or a related field.

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