LUMIQ operates as a data transformation partner focused exclusively on financial services and insurance (FSI). The tech stack is heavily AWS-centric (Redshift, Glue, Lambda) layered with data orchestration (Airflow, dbt) and containerization (Kubernetes, Docker), reflecting a mature, production-grade infrastructure. Active projects cluster around DevOps maturity and automated ETL, while pain points surface around deployment scalability and DevOps process delays—suggesting LUMIQ is scaling internal engineering capability faster than infrastructure tooling can absorb.
LUMIQ is a data transformation and consulting partner serving financial services and insurance enterprises, based in Noida, India. Founded in 2013, the company operates at 201–500 employees and specializes in building data platforms, data lakes, and machine learning systems tailored to FSI regulatory and operational constraints. The business model centers on end-to-end implementation: data lake architecture, ETL/ELT pipeline automation, analytics platforms, and specialized capabilities like document analytics and customer 360 consolidation. Most hiring is concentrated in India, with current focus on senior and leadership roles in sales and engineering.
AWS is primary (Redshift, Glue, Lambda, data solutions); GCP and Azure also in stack. Infrastructure is containerized (Kubernetes, Docker) and infrastructure-as-code (Terraform).
Apache Airflow for orchestration, dbt for modeling and transformation, AWS Glue and PySpark for large-scale ETL, plus SQL and Python for pipeline logic.
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