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Build Azure-based data pipelines and AI models to optimize energy use, advance cancer research, and deploy computer vision solutions for sustainability and healthcare.
Builds and maintains data pipelines in Python, Oracle, and WhereScape to feed PowerBI dashboards and migrate the stack to Azure Cloud.
Build and optimize Azure-based data pipelines using Python, Spark-SQL, and Azure services like Databricks and Data Factory.
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Lead SAP UNV-to-UNX migration and build HR analytics pipelines using SAP BW/BO, Oracle, SQL, and Power BI to deliver clean, validated data for reporting.
Build and maintain scalable Azure data pipelines, integrate data sources, and optimize processing for analytics and AI workloads using Synapse, Databricks, and Fabric.
Senior Data Engineer builds and maintains cloud-based data pipelines and Azure migrations using Python, PySpark, Databricks, and CI/CD tooling.
Build and maintain an Azure-based data platform using Databricks, PySpark, and SQL to create pipelines, models, and reports that drive business decisions and new data products.
Design and build cloud-based data pipelines and solutions for financial clients, using Azure, Python, and data engineering best practices.
Builds and deploys AI-driven synthetic data pipelines using diffusion models and differential privacy to create privacy-safe datasets for enterprise clients.
Senior Data Engineer builds and maintains cloud data pipelines, warehouses, and BI dashboards using Microsoft Azure, SQL, and Python to help clients become more data-driven.
Builds scalable Python applications and data platforms in Azure, Databricks, and Kubernetes, focusing on software engineering best practices and end-to-end ownership.
Build and maintain data pipelines and warehouses for cutting-edge clients using Python, SQL, and cloud tools like Azure Synapse and Databricks.
Lead a data engineering team to build and maintain Python-based ELT pipelines into BigQuery, design SQLMesh models, and set engineering standards for a modern data stack.
Build and maintain ETL pipelines, PostgreSQL databases, and Python scripts to process 30B+ records for commodity trading insights and dashboards in Qlik Sense.
Build automated tooling and dashboards to streamline derivatives and structured-products trade operations, reconcile trades/positions, and reduce manual effort while strengthening controls.
Design and build scalable data pipelines using Microsoft Fabric for clients, implementing best practices and collaborating with cross-functional teams.
Build and maintain MetricCAT, a Streamlit-based KPI dashboard that integrates data from Jira, ServiceNow and Confluence to help Agile teams track and improve performance.
Build and maintain data pipelines to integrate and transform automotive data from multiple systems into reliable, high-quality datasets for reporting and analytics.
Build and maintain data pipelines for EV charging networks, ensuring reliable data for smart charging and energy optimization using AWS, Databricks, and Python.
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