AI and data consulting with cloud infrastructure focus
NeenOpal is a consulting firm delivering AI, cloud, and data engineering services to mid-market and enterprise clients. The tech stack reveals a dual operating model: analytics and SEO tooling (Ahrefs, SEMrush, Google Analytics) alongside core data infrastructure (Python, SQL, Snowflake, AWS/Azure/GCP). Active hiring is concentrated in data roles with mid-level seniority, while projects span both client deliverables (data warehousing, ETL pipelines, tag management) and internal capability building (search optimization, data quality frameworks). This mix suggests a services firm scaling delivery capacity while improving its own digital presence.
NeenOpal provides AI, cloud architecture, and data engineering consulting to organizations ranging from high-growth startups to large enterprises. The firm operates across three core service areas: predictive analytics and generative AI solutions, cloud migration and infrastructure design (primarily AWS, Azure, and GCP), and data pipeline engineering with warehousing and governance frameworks. Headquartered in Newark, New Jersey, with delivery presence in India and Canada, the company staffs projects with data engineers and analysts. Current work spans warehouse design, ETL transformation, analytics implementation (Tableau, Power BI), and data quality assessment.
Core: Python, SQL, Snowflake, AWS, Azure, GCP. Analytics: Tableau, Power BI, Google Analytics. Data tooling: Pandas, R, SAS. Currently adopting AWS Glue and Azure Data Factory.
Newark, New Jersey. The company also maintains delivery and support offices in Bengaluru, India and Fredericton, Canada.
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