Data engineering and analytics services for enterprise data platforms
Prescience builds data platforms and ETL infrastructure for enterprises managing gigabytes to petabytes of data. Their stack spans Snowflake, dbt, PySpark, Databricks, and Kafka—a modern, cloud-native shape that signals maturity in both batch and streaming workloads. The hiring mix is heavily skewed toward senior data engineers and leads (11 of 13 roles), indicating they're scaling delivery teams rather than exploring new product lines.
Prescience Decision Solutions, founded in 2017 and acquired by Movate, is a data and AI services firm headquartered in Bengaluru. They deliver end-to-end data solutions spanning analytics, business intelligence, data engineering, and machine learning for mid-market and enterprise clients. Core offerings include enterprise data platform design, ETL/ELT pipeline development, data warehouse architecture, and semantic layer optimization. Active projects focus on modern cloud data stacks (Snowflake + dbt), real-time analytics platforms, and scalable BI workflows. The company addresses common pain points: slow pipelines, dashboard performance bottlenecks, data inconsistencies, and the operational complexity of managing petabyte-scale datasets.
Snowflake, dbt, PySpark, Python, Databricks, AWS, Azure, GCP, Kafka, Tableau, Apache Flink, Kubernetes, and supporting tools (Great Expectations, Deequ, Informatica).
Enterprise data platform design, robust ETL/ELT pipelines, modern data platforms on Snowflake and dbt, real-time analytics platforms, semantic layer optimization, and scalable BI workflows for complex client requirements.
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