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Builds and optimizes GCP-based data pipelines, models data in BigQuery, and creates dashboards in Looker Studio for analytics.
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
Designs and maintains GCP-based batch and streaming data pipelines, enabling advanced analytics and BI dashboards with tools like Power BI and Looker.
Builds and maintains scalable data pipelines in GCP, transforms raw data into trusted assets, and creates dashboards in Looker Studio and Grafana to support business decisions.
Build and maintain scalable data pipelines on GCP, using Python, SQL, Spark/Scala, and Airflow to enable analytics and automation for client projects.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and deploy predictive models on GCP to analyze credit data, create dashboards in LookerStudio, and drive data-driven decisions for a fast-growing African lender.
Design and lead the transformation of Takealot’s data platform from batch to real-time, setting technical standards and governance for a high-scale ecommerce and logistics ecosystem.
Analyze iGaming and sports betting data to produce reports and insights that guide revenue, player strategy, and product decisions using SQL, Power BI, and Excel.
Analyze sportsbook, casino, and player data to produce reports and dashboards that guide revenue growth and player strategy in an iGaming business.
Build and maintain scalable data pipelines on GCP and Snowflake to feed marketing analytics and AI-driven personalization for global brands, using Matillion, Rudderstack, and Amplitude.
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Lead Snowflake migrations and implementations, build semantic data models, and integrate BI tools like Power BI for enterprise reporting while applying modern DevOps practices.
Build and maintain scalable data pipelines for Roku’s ad-auction platform, ensuring reliable, high-performance data flows for digital advertising.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery and Dataflow to enable analytics and reporting for enterprise clients.
Build and maintain ETL/ELT pipelines that feed Shopify, ERP, CRM and logistics data into a BI environment, ensuring reliable reporting and analytics for an ecommerce business.
Paid Social Specialist Location: Perungudi, Chennai (Work From Office) Experience: 2+ Years Work Timings: Monday to Friday | 02:00 PM – 12:00 AM IST About BigBoost AI BigBoost AI is a performance marketing agency…
Lead a team of data engineers to build and maintain scalable data pipelines and infrastructure for audience lifecycle management using cloud platforms like GCP/AWS and tools like BigQuery and Looker.
Design and maintain scalable data pipelines and cloud-based data infrastructure to support analytics and business intelligence at a growing startup.
Design and build Snowflake-based data platforms for retail analytics, including ELT pipelines, AI-driven use cases, and real-time inventory/order tracking.
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