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Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Data Transformation & Automation Engineer Position Summary As a GSC Data Transformation & Automation Engineer , you will play a critical role in enabling data-driven decision making across Global Supply Chain…
Builds and optimizes GenAI pipelines using Azure AI Search and data ingestion frameworks to enhance retrieval and semiconductor manufacturing processes.
Build and maintain scalable data pipelines and lakehouse architectures to collect, process, and govern audio and vehicle telemetry for ML training and in-cabin personalization in automotive infotainment systems.
Design and maintain global data pipelines for telemetry (logs, metrics, events) using Splunk, Cribl, Datadog, and cloud-native tools to optimize cost, routing, and governance.
Senior Backend Engineer builds and maintains data pipelines and REST APIs using Node.js, Java, and AWS, focusing on scalable systems and CI/CD in a remote setup.
Build and maintain ETL pipelines in Python, Snowflake, and Airflow to ingest, transform, and deliver retail analytics data for financial use cases.
Lead a team building scalable Snowflake and AWS data pipelines for enterprise clients, enforcing Medallion Architecture, data quality, and governance in an ELT-focused environment.
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Designs and builds production-grade data pipelines and REST APIs using Node.js, Java 17+, Terraform, and AWS in a hybrid role based in Guadalajara.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Builds and maintains data pipelines and ingestion frameworks in a data lake, using Databricks/Spark and SQL to support Power BI reporting and ensure regulatory compliance.
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Design and maintain data pipelines and ETL workflows to process and transform raw data into actionable insights for business reporting and analytics.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
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