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Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Lead a data engineering team to build ingestion, transformation, and governance pipelines for enterprise systems (PLM, ERP, MES) using Databricks or Azure Data Factory to feed knowledge graphs and Digital Twins.
Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Build and maintain scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and reporting for a specialty insurance firm.
Senior Data Engineer designs data pipelines and models using Azure Fabric, Azure Data Factory, SQL Server, and Power BI to deliver analytics and reporting solutions for international clients.
Designs and maintains data pipelines and BI reports on Azure, using SQL Server, Power BI, and Power Automate to support business decisions.
Designs and builds enterprise-grade Azure analytics pipelines and dashboards for high-profile clients.
Build and maintain data pipelines, warehouses, and BI dashboards in Azure and Snowflake to support global strategic decisions.
Build and maintain data pipelines and models for a centralized data platform supporting BI and AI, using Databricks, Azure tools, SQL, Python, and Spark.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to enable analytics and AI workloads for enterprise systems.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Build and maintain data pipelines, a SQL Server data warehouse, and Power BI dashboards to support business decision-making at a trade association.
Design and build scalable cloud data platforms on Microsoft Azure, including BI and analytics solutions for enterprise clients in cybersecurity and other sectors.
Build and optimize large-scale data pipelines with Apache Spark and Azure, then apply ML models for forecasting and anomaly detection in enterprise domains.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Senior Data Engineer builds and maintains Azure/Fabric-based data pipelines, ETL workflows, and Power BI dashboards for enterprise clients, ensuring data quality and translating business needs into technical solutions.
Build and maintain Azure-based data pipelines, lakes, and BI integrations using Data Factory, Data Lake, SQL, and Power BI.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Build and maintain Azure-based data lakes and machine learning pipelines for enterprise clients using Azure Data Factory and Databricks.
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