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Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Designs and builds scalable data pipelines on Databricks and Azure, using Delta Tables and medallion architecture to integrate and process data from multiple sources.
Lead the design and implementation of scalable Azure-based ELT pipelines and data models to power McCormick’s AI-driven recommendations and analytics initiatives.
Senior Data Engineer builds and optimizes Databricks lakehouse pipelines in PySpark/Delta Lake, manages Unity Catalog access, and tunes Spark for real-time and batch workloads.
Build and optimize AWS-based data pipelines and Redshift models to power BI and analytics for a large European telecom client.
Build and maintain scalable Azure-based ETL/ELT pipelines to integrate enterprise systems and transform raw data into analytics-ready insights for reporting.
Build and own the data platform for a mobile RPG studio, designing Kafka-based pipelines and warehouses that power gameplay analytics and LiveOps decisions.
Designs and maintains scalable data pipelines and a central data platform using Databricks and Snowflake to power analytics and AI/ML across the organization.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Build and maintain data pipelines and ETL processes to support AI agents and ML workflows, ensuring reliability, security, and compliance for healthcare-focused AI initiatives.
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Build and maintain a modern data warehouse using Microsoft Fabric, process data with Python/PySpark and T-SQL, and collaborate with PowerBI teams and business users.
Build and govern a medical-data foundation for AstraZeneca, designing ETL pipelines, data models, and governance to make AI-ready datasets available to medical teams and analytics platforms.
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Build and maintain Microsoft Fabric pipelines and data models using PySpark and Spark SQL, following medallion architecture to deliver scalable analytics solutions.
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.
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