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Impact Analytics is seeking a Data Engineer to join the data team in Bengaluru, India. The role focuses on expanding and optimizing the end-to-end data pipeline architecture and collaborating with software engineers, data analysts and data scientists to ensure reliable data delivery.
The ideal candidate has 2+ years in data engineering, strong SQL, Python, and hands-on experience with GCP, BigQuery, and big data tools.
Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.
Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.
What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.
For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.
We are looking for a Data Engineer to join our data team to solve data-driven critical business problems. The person in this role will be responsible for expanding and optimizing the existing end-to-end architecture including the data pipeline architecture. The Data Engineer will collaborate with software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture (consistency throughout ongoing projects). The right candidate should have hands‑on experience in developing a hybrid set of data‑pipelines depending on the business requirements.