Cloud consulting and data engineering for enterprise digital transformation
SquareShift is a cloud and data consulting firm built around AWS, GCP, and Azure adoption, with deep expertise in Elasticsearch, Kafka, and Snowflake-based data platforms. The hiring mix—senior engineers and data practitioners, primarily in India—suggests a services-delivery model focused on high-complexity, long-cycle engagements rather than product development. Tech stack shape (React Native + Looker + Apache Spark + dbt) indicates a consulting shop that builds end-to-end analytics and cloud migration projects rather than selling packaged software.
SquareShift partners with enterprise and venture-backed companies on cloud migration, data engineering, and cybersecurity projects. The company operates across the US, Singapore, and India, serving customers in banking, financial services, retail, insurance, and e-commerce. Core service lines include modern app development, Elasticsearch and SIEM implementation, DevOps enablement, cloud security, and business intelligence. Active project focus centers on end-to-end BI development, scalable data modeling, and interactive dashboards—work typically delivered for clients managing data quality, governance, and platform performance challenges.
SquareShift uses AWS, GCP, and Azure for cloud infrastructure; Snowflake and Apache Spark for data processing; Looker, Tableau, and Power BI for analytics; Elasticsearch for search and SIEM; and Kafka and Kinesis for streaming. Frontend work relies on React, React Native, and JavaScript.
SquareShift is headquartered in Dublin, California. The company also operates delivery centers in Singapore and India and serves clients globally across the US, APAC, and Europe.
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SquareShift's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.