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Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines and governance for batch and streaming data across multi-cloud environments.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines and warehouses on AWS/Azure to modernize ingestion, processing, and consumption for a large enterprise.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Senior AWS Data Engineer
Designs and maintains scalable AWS data pipelines using Glue, Redshift, and PySpark to ingest, transform, and serve data for analytics and ML.
Senior Data Engineer
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Senior Data Engineer
Senior AWS Data Engineer builds scalable data pipelines and analytics-ready datasets on AWS using Glue, Redshift, Athena, PySpark, and dbt.
Data Engineer Lead
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Data Engineer
Build and maintain the firm’s Microsoft Fabric-based data platform, creating scalable pipelines and models to power analytics and AI tools across the legal practice.
Data Engineer
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.
Data Engineer, AI and Data, Technology Consulting
Design and build scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, and PySpark to enable AI, analytics, and reporting for EY’s clients.
Data Engineer
Build and maintain data pipelines, lakehouse/warehouse structures, and semantic models on Microsoft Fabric to ingest and transform data from ERP systems, APIs, and IoT platforms for reporting and analytics.
Data Engineer - AWS
Designs and maintains scalable AWS data pipelines using Glue, Redshift, and PySpark to ingest, transform, and serve data for analytics and ML in a large enterprise environment.
Sr Data Engineer (AWS)
Designs and maintains scalable AWS data pipelines using SQL, Python, and PySpark to ingest, transform, and serve data for analytics and ML.
Data Engineer
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Hybrid Data Engineer - AI-Ready Data Platform
Build and maintain scalable data pipelines in Microsoft Fabric to power analytics, reporting, and AI initiatives for a law firm.
Data Engineer, AI and Data, Technology Consulting
Build and maintain scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, PySpark and dbt to power AI, analytics and reporting for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines and analytics platforms using Microsoft Fabric, Snowflake, and Power BI to support reporting and automation for a logistics company.
Data Engineer for AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines for AI and analytics using Databricks, Snowflake, and PySpark to deliver clean, structured data for reporting and modeling.
Data Engineer - (AI & Databricks)
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.