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Senior Data Engineer
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
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.
Data Engineer (Azure)
Designs and maintains Azure-based data pipelines using Databricks, PySpark, and Azure Data Factory to ingest and process banking data into scalable Medallion Architecture layers.
Data Engineer I
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Senior Data Engineer
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Data Engineer
Build and optimize Snowflake-based data pipelines and ETL processes, implement governance and AI features, and tune performance for cloud data workloads.
Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Data Engineering Specialist
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Senior Data Engineer
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to feed analytics and reporting, using cloud technologies like AWS/Azure and scripting in Python/PySpark.
Data Engineer
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Data Engineer: Snowflake Pipelines & ETL for Impact
Design and optimize Snowflake-based data ingestion pipelines and ETL workflows using SnowPipe, dbt, and GitHub to deliver scalable analytics platforms for enterprise clients.
Data Engineer (Enterprise Data Warehouse)
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Data Engineer
Design and build Snowflake-based data pipelines and ETL processes, optimize performance, and implement GenAI use cases using Snowflake Cortex.
Senior Data Engineer
Senior Data Engineer builds real-time streaming pipelines and integrates generative AI with enterprise systems using GCP tools like BigQuery and Pub/Sub.
Senior Data Engineer
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.
Data Engineer
Build and maintain scalable data pipelines for market abuse surveillance, ensuring regulatory compliance by ingesting trade, market, and communications data into AWS-based systems.
Snowflake Data Engineer — Pipelines & ETL
Designs and builds Snowflake-based data pipelines using SnowPipe and dbt for ingestion, transformation, and governance across ANZ clients.
Senior Snowflake Data Engineer
Build and optimize Snowflake data pipelines, ETL/ELT workflows, and GenAI integrations using Snowpark and Cortex AI features.
Data Engineer
Build and scale production-grade data pipelines and Lakehouse infrastructure using Azure, Databricks, Python, and Spark to power analytics and AI for enterprise risk and financial advisory services.