[Hiring] Technical Lead @dentsu

Role Description

Looking for a senior professional (8–10 years) who can work across data engineering and data insights, not just pipeline building. The role requires someone who can build pipelines, understand data deeply, and generate insights. There is a 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. The 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.

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.