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Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Design and build scalable Snowflake-based data pipelines and warehouses, optimizing ELT workflows and collaborating with business teams to deliver reliable, high-performance analytics solutions.
Build and optimize Snowflake data pipelines and dbt models for analytics, applying ELT, Kimball modeling, and CI/CD practices in a cloud environment.
Build and maintain scalable data pipelines using Microsoft Fabric to integrate and optimize data from ERP, CRM, and APIs for analytics and reporting.
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.
Build and maintain scalable data pipelines and AI features for a hotel-tech platform, using Python, GCP, BigQuery, and Kafka.
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and ML models on Google Cloud using Python, SQL, dbt, and Databricks.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Design and maintain scalable cloud-based data pipelines on Databricks/Azure to ingest airport and airline data, enabling ML models that improve air transport operations.
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Build and maintain ETL pipelines in Python/SQL to move and transform data for analytics and dashboards, ensuring quality and freshness.
Build and maintain Manychat’s data platform, designing scalable pipelines and infrastructure to power analytics and AI across social/messaging apps.
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Design and maintain ETL/ELT pipelines and API integrations to unify data from multiple sources into a reliable foundation for analytics and business teams.
Designs and maintains cloud data pipelines and analytics platforms for food/beverage plants using Azure, Databricks, and time-series databases to enable AI-driven insights and operational reporting.
Build and maintain a cloud-based data lakehouse, design scalable data models, and develop ETL/ELT pipelines in AWS for analytics use cases across marketing, HR, and operations.
Design and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Azure Data Factory, and PySpark for cloud-based data platforms.
Designs and builds scalable Snowflake-based data pipelines and ETL/ELT processes in Azure, using Snowpark and SQL to deliver cloud-native analytics solutions.
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