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Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks workflows, and cloud cost governance.
Oversee data quality, governance, and accessibility for Vanderlande’s Sell & Deliver value chain, ensuring reliable data for analytics and business decisions using Azure, Databricks, and Microsoft Purview.
Build and deploy machine-learning models on large-scale industrial manufacturing data using Python, Spark, and SQL to optimize semiconductor production processes.
Test and validate data platforms, pipelines, and products in a Databricks/PySpark environment to ensure reliability and business readiness.
Lead a team of data engineers to design and build cloud-native data platforms (Azure Databricks, Microsoft Fabric) that power automated decision-making and scalable analytics for enterprise clients.
Build and operate a cloud data platform on AWS and Databricks, writing Terraform and Spark pipelines to provision, deploy, and scale analytics and AI products for supply-chain customers.
Build and maintain scalable Azure-based data pipelines and warehouses for a global pension fund, enabling analytics and AI-driven investment insights with Python, PySpark, Snowflake, and dbt.
Builds scalable Microsoft Fabric and Power BI data products: semantic models, DAX measures, and Python/SQL pipelines, focusing on reusable, performant analytics solutions for financial services.
Lead cloud architect designs enterprise-grade Azure and Databricks data platforms for financial clients, building scalable ETL pipelines, governance frameworks, and MLOps patterns while guiding engineering teams.
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We…
Build and optimize data pipelines in Azure Synapse using PySpark/Python, migrate ADF workflows, and design scalable data models for analytics and reporting.
Build and scale Databricks-based data pipelines and ETL for Adobe’s Pro Design products, enabling AI-driven analytics and experimentation with telemetry and governance in Unity Catalog.
Build and maintain large-scale data pipelines and analytics platforms using Databricks, PySpark, SQL, and Delta Lake to deliver AI and data solutions for clients.
Leads data engineering for risk systems, building scalable pipelines with Spark, Snowflake and Databricks to process and validate financial data.
Develop secure, user-facing applications and RESTful APIs for intelligence missions, integrating data visualizations and CI/CD pipelines using Python, Java, and JavaScript.
Build and optimize scalable data pipelines and modern data platforms for clients using Python, Spark, SQL, and cloud tools (Azure/AWS/GCP).
Design and build Databricks-based data pipelines and lakehouse architecture in AWS to migrate a legacy data warehouse, using PySpark, Delta Lake, and Airflow.
Build and prototype AI solutions using LLMs, agentic systems, and modern frameworks to solve business challenges and enhance predictive models for clients.
KEY RESPONSIBILITIES Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions. Translate business requirements into technical specifications for data science…
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