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Technical Lead

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 10,001

Location

India

Posted

72 days ago

Salary

0

Seniority

Lead

Job Description

Technical Lead

dentsu

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. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

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