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Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
Design and maintain scalable data pipelines and models, set engineering standards, and mentor teams using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Designs and builds enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks, enabling AI/ML and analytics for financial, legal, and government clients.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and lakehouses using ETL/ELT tools to feed analytics and business decisions.
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Build and maintain ETL pipelines, data models, and dashboards to turn raw business data into insights and reports using Python, SQL, and cloud platforms.
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Build and maintain scalable ETL/ELT pipelines and data platforms to turn enterprise data into trusted, analytics-ready datasets for BI and AI initiatives.
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Senior Data Engineer builds and maintains Azure-based data pipelines and warehouses using Databricks, Azure Data Factory, SQL, and Python to power BI reports and global analytics.
Build and optimize data pipelines using Microsoft Fabric, SQL Server, and Dynamics 365 to integrate and transform large datasets, then deliver insights via Power BI dashboards for business stakeholders.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and analytics for a global enterprise.
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