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Build and optimize Databricks-based ETL/ELT pipelines on Azure to ingest and transform data, ensuring high-quality data for analytics and business teams.
Data Engineer builds and maintains ETL/ELT pipelines and data flows, models data warehouses, and collaborates with business teams to deliver analytics-ready solutions.
Design and maintain data pipelines, governance, lineage, and OMOP modeling for a precision-medicine platform that integrates omics data for medical research.
Lead a team to design and build end-to-end data architectures on Google Cloud, using BigQuery, Dataflow, and DBT to create scalable ETL/ELT pipelines and integrate GenAI services.
Design and build scalable cloud data pipelines on Google Cloud Platform (BigQuery, Dataflow, etc.) to enable AI-driven analytics and business intelligence for enterprise clients.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Spark, Snowflake, Kafka, and GCP/Azure.
Design and optimize scalable data architectures for a cybersecurity-focused ESN, using Python, SQL, Spark, Snowflake, and BigQuery.
Designs and builds data pipelines and processing systems to power AI solutions for energy optimization and industrial automation using Python, Spark, and cloud platforms.
Build and maintain a reliable data infrastructure, automate pipelines, and create dashboards to support decision-making and self-service analytics for a fast-growing edtech startup.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Kafka, Spark, Snowflake, and GCP/Azure.
Build and maintain ETL/ELT pipelines to ingest and transform game-player data, ensuring quality and reliability for Ubisoft’s titles like Assassin’s Creed and Rainbow Six.
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Design and build scalable data architectures, pipelines, and warehouses using SQL, Python, and cloud tools to support analytics and business needs.
Lead a modern enterprise data platform using Snowflake and dbt, designing ELT pipelines, optimizing SQL, and guiding teams to deliver reliable, business-impactful data solutions.
Build and optimize ETL/ELT data pipelines, deploy production systems, and provide technical support using SQL and Python.
Designs and builds scalable data pipelines and cloud-based data platforms for clients, focusing on ETL/ELT architecture and cloud environments like GCP and Azure.
Build and maintain scalable data pipelines and infrastructure for a healthcare-focused cloud platform, transforming raw data into actionable insights using Python, SQL, and cloud-native tools.
Designs and builds scalable data pipelines, cloud data architectures, and ETL/ELT processes for AI and ML projects at major enterprise clients.
Builds and maintains data pipelines, warehouses, and dashboards to feed analytics and business decisions using SQL and Python.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
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