Teams at dentsu

Leads QA activities for data warehouse and database-focused software projects. Defines testing scope, creates test plans and SQL scripts, designs comprehensive test cases, performs functional, regression, load, system, and UAT testing, manages defects through resolution, investigates data quality issues, communicates status to stakeholders, establishes QA best practices, and mentors 2–3 QA associates.

Designs and leads enterprise-scale cloud data platforms and analytics solutions using Snowflake, Python, SQL, and Azure technologies. Responsibilities include data architecture, migration, governance, optimization, and technical leadership. The role also architects generative AI, LLM, and RAG solutions, mentors engineering teams, conducts design reviews, develops roadmaps, and translates business requirements into secure, scalable technical solutions.

Designs and maintains scalable data engineering solutions using Python, SQL, and Snowflake. Builds ETL/ELT pipelines, data warehouses, data lakes, and React interfaces while integrating generative AI, LLMs, RAG, and intelligent automation. Responsibilities include Snowflake architecture, data governance, CI/CD, testing, performance optimization, stakeholder collaboration, Agile participation, business data analysis, and mentoring junior developers.