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Technical Lead

Roles & Responsibilities

  • 8-10 years of experience in data engineering, data analytics, and AI-related roles
  • Strong proficiency in Python and SQL
  • Experience with Snowflake, S3, and API-driven data pipelines; familiarity with AI coding assistants (Claude, Codex) and Agentic AI systems
  • Bachelor's or Master's degree in engineering, Statistics, Economics, Mathematics, Data Science, or a related field

Requirements:

  • Build and manage ETL/ELT pipelines, especially ingesting data via APIs, and integrate multiple API-based data sources
  • Use AI tools (e.g., Claude, Codex) to improve development efficiency and contribute to Agentic AI workflows where applicable
  • Work with Snowflake and S3 for scalable data storage and processing; perform data validation, QC, and sense-checking to ensure reliability
  • Analyze datasets to derive actionable insights for business decision-making and translate business needs into practical, scalable data solutions

Job description

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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