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Senior Data Engineer — Real-Time AWS
Designs and builds real-time data pipelines on AWS using PySpark, Airflow, and Redshift to power enterprise-scale analytics and insights for an HR-focused SaaS platform.
Senior Data Engineer
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
Senior Data Engineer
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML, collaborating with data scientists and BI teams.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Azure Synapse, Databricks, and PySpark to power analytics and ML workloads.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Azure Data Lake, Synapse, and Databricks to power analytics and real-time insights for enterprise clients.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Lead Data Engineering Consultant
Lead a team building a reconciliation staging area for securities products, importing and transforming trade data in AWS and ensuring accurate matches between external MT messages and internal positions.
Data Engineer
Design and maintain scalable data pipelines in Azure for a government digital transformation, ensuring data integrity and supporting analytics and ML workloads.
Data Engineer
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
AI Data Engineer: Build AI-Ready Pipelines & RAG Systems
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Data Engineer - Snowflake or Databricks
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and architecture for large enterprise and government clients.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
AI Data Engineer
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Data Engineer
Build and maintain enterprise-scale data pipelines and cloud solutions using SQL, Python, dbt, and PySpark to power analytics and AI outcomes.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Azure Data QA Engineer - Data Lake & ETL Validation
Designs and validates Azure Data Lake and ETL pipelines using PySpark and SQL to ensure data accuracy and reliability.