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Design and maintain ETL workflows using SAP BODS, build scalable data pipelines, and optimize SQL/Teradata queries for data transformation and migration.
Design and maintain enterprise data pipelines and warehouses using SQL, Google BigQuery, and IBM Infosphere Datastage to support analytics and reporting for a client.
Maintains and troubleshoots Palantir Foundry data pipelines, monitors data health, and provides L2 support using Python, SQL, PySpark, and TypeScript.
Lead a team to maintain and enhance an Azure-based data platform, building ETL pipelines and ensuring data quality for real-estate analytics and products.
Build and maintain cloud-based data platforms and analytics solutions, ensuring data governance and driving data-driven decisions for enterprise initiatives.
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Lead a team to build and maintain ETL pipelines, Azure Data Platform, and data storage infrastructure using PySpark, Python, SQL, and Azure Databricks.
Oversee AI/ML governance at a major bank: set ethical standards, validate models, enforce MLOps controls, and ensure compliance with regulations across credit, fraud, and marketing systems.
Designs and builds AI-driven finance automation systems, including agentic AI for workflows and ML models for forecasting, while setting technical standards and governance for Finance.
SUMMARY OF THE JOB As Holcim scales AI across its global footprint—from predictive industrial maintenance to GenAI-powered corporate functions—we require a unified approach to risk and ethics. You will be the…
Design and build AWS-based data platforms, including data lakes, warehouses, and pipelines, while providing architectural oversight and ensuring security and cost optimization.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain scalable data pipelines and cloud data warehouses using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing analytics and enterprise reporting.
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Builds and maintains ELT/ETL pipelines and data marts for a retail analytics platform, transforming OLTP data into governed, business-ready datasets for reporting and forecasting.
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Builds and evolves PostgreSQL-backed data models and services that encode complex domain rules for a code-translation platform used in defense, automotive, and aerospace.
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