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Senior Data Engineer
Design and build scalable cloud data pipelines using Azure Data Factory, Snowflake, and Databricks to power analytics and reporting for enterprise clients.
Data Engineer - Contractual
Designs and maintains data pipelines and infrastructure to transform raw data into insights using Python, SQL, Spark, and cloud platforms like AWS.
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.
IT Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines using Databricks, Python, SQL, Snowflake, and Azure for a hybrid setup.
Senior Snowflake Data Engineer
Build and optimize Snowflake data pipelines, ETL/ELT workflows, and GenAI integrations using Snowpark and Cortex AI features.
Senior Data Engineer (AWS & Snowflake)
Design and build cloud-native data pipelines and AI solutions using AWS and Snowflake, ensuring scalable, secure, and high-performance data infrastructure for analytics and AI initiatives.
Senior Data Engineer (Snowflake / Redshift)
Senior Data Engineer builds and optimizes cloud data platforms using Snowflake and Redshift to power analytics and reporting across a fintech organization.
Analytics Data Engineering
Builds and maintains Qlik Sense dashboards and data models, pulling from Snowflake/SQL Server to deliver interactive analytics for business users.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Data Engineer
Designs and maintains Snowflake-based data warehouses with dbt, builds ETL pipelines in Informatica, and automates jobs with Control-M and UNIX scripts.
Data Engineer
Designs and builds scalable big-data infrastructure and ETL pipelines using Python, Spark, and cloud services to support reporting and analytics.
Data Engineer
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Data Engineer
Build and maintain Snowflake data pipelines that move financial data between Oracle and client warehouses, enabling ESG reporting and analytics with Row Level Security.
Data Engineer
Designs and builds data pipelines, warehouses, and analytics datasets for a fintech company using cloud tools like AWS and Snowflake.
AI Data Engineer
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Senior Data Engineer - Cloud Data Pipelines & AI Enablement
Designs and builds production-grade data pipelines on AWS and Snowflake to enable advanced analytics and AI use cases using Python and software engineering best practices.
Snowflake Data Engineer — Pipelines & Warehousing
Owns and evolves a Snowflake data warehouse, builds pipelines between Oracle and Snowflake, and delivers client-ready exports and visualizations.
Data Engineer
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Data Engineer (AI Experienced)
Build and deploy AI systems for cost estimation and optimization, including LLM-powered tools and MLOps pipelines integrated with enterprise platforms.