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Build and maintain scalable data pipelines and a self-service data platform using Snowflake, Airflow, and AWS, enabling teams to produce and consume trusted data products.
Senior Data Engineer builds and scales a GCP/BigQuery data warehouse for an online education company, integrating diverse sources into a unified analytics model.
Build and maintain scalable data pipelines and models for a media company, using SQL, Python, dbt, Airbyte and Airflow to power analytics and ML systems.
Senior Data Engineer to own and scale a GCP-based data warehouse, build robust pipelines, and unify diverse data sources for a leading online education group.
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Designs and builds scalable Snowflake-based data pipelines and architectures using Python, SQL, and cloud tools, optimizing performance and cost.
Build and maintain data pipelines, models, and segments for National Geographic’s subscription business, using SQL, Python, and cloud warehouses to power marketing and personalization.
Designs and builds scalable data pipelines on GCP using Python, BigQuery, and Snowflake to modernize customer analytics and reporting systems.
Build and maintain dashboards, transform data in BigQuery with dbt, and deliver ad-hoc analyses to guide business decisions using SQL, Python, and Metabase.
Build and maintain the data infrastructure (Data Lake, ETL/ELT pipelines) for an edtech startup, automate reporting with Tableau/Snowflake, and enable self-service analytics for sales and CSM teams.
Build a cloud-native analytics platform from scratch: warehouse, dbt pipelines, semantic layer, and embedded analytics to turn HR survey data into insights for clients and internal teams.
Own and scale the data infrastructure for AI and financial analytics products, ensuring reliable, multi-tenant pipelines and rapid incident response.
Build and lead Humand’s data platform, integrating HR tools like HubSpot and Stripe into a centralized warehouse and enabling BI reporting for customers.
Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
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