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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.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Build and maintain Microsoft Fabric pipelines and data models using PySpark and Spark SQL, following medallion architecture to deliver scalable analytics solutions.
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.
Builds and scales Palantir Foundry data pipelines in Python/SQL, turning business needs into working data models for analytics teams.
Builds and maintains scalable data pipelines using PySpark, Databricks, and Azure to process and transform data for reliable business insights.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Senior Data Engineer builds and transforms financial data pipelines for credit compliance systems, migrating legacy warehouses to Databricks and enabling analytics dashboards.
Senior Data Engineer builds and scales cloud-based data pipelines and AI-driven analytics platforms using Databricks, Python/PySpark, and Power BI for European clients.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Builds and maintains a modern data warehouse using Microsoft Fabric, writes Python/PySpark and T-SQL pipelines, and collaborates with PowerBI teams to deliver analytics.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for batch and streaming data in the automotive industry, using Python, PySpark, and SQL.
Senior Data Engineer builds and optimizes ETL pipelines, integrates financial data sources, and models data for US fintech clients using Snowflake/Databricks and BI tools.
Build and migrate AML data pipelines using PySpark and Databricks, centralizing financial data and modernizing ETL processes for a fintech client.
Build and maintain ETL pipelines and data systems using Spark and Python to power AI-driven pricing and marketing optimization for HP’s GTM analytics.
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Build and operate cloud data pipelines using Python, Google Cloud, and Terraform to deliver scalable data products and KPIs in an agile team.
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