Data engineering and analytics consulting with Gen AI and ML focus
BigTapp Analytics operates as a consulting-led data services firm built on a classical data-engineering stack (Oracle, Snowflake, Informatica PowerCenter, Python) paired with modern mobile development tools (Flutter, Kotlin, Java). The hiring mix is heavily weighted toward data roles (7 of 12 active positions), reflecting their core service delivery model, while active projects signal a recent pivot toward Gen AI applications and LLM integrations alongside fraud detection and risk modeling. Pain points around ETL performance, pipeline stability, and legacy data migration suggest they're scaling delivery capacity while managing client infrastructure debt.
BigTapp Analytics is a Singapore-based data services consulting firm founded in 2013, operating in the 51–200 employee range. They deliver data engineering, analytics, and data science solutions across financial services, compliance, and risk management verticals. The technical foundation combines enterprise data platforms (Oracle, Snowflake, SQL Server) with ETL orchestration (Informatica PowerCenter) and emerging AI/ML capabilities. Active projects span fraud detection, credit risk modeling, transaction analytics, and legacy system modernization. They are currently hiring in India, with accelerating velocity and a focus on data-engineering roles.
Oracle, Snowflake, SQL Server, Informatica PowerCenter, Python, Kotlin, Java, Flutter, Firebase, GitHub for CI/CD, and GraphQL for APIs.
Gen AI applications, LLM integrations, fraud detection, credit risk modeling, transaction analytics, legacy data source modernization, and automation workflows.
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