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Build and deploy AI/ML models and analytics tools to optimize Caterpillar’s remanufacturing operations using Python, Snowflake, and Power BI.
Data Governance Analyst responsible for building and maintaining enterprise data governance capabilities—business glossary, data catalogue, data lineage, and data quality framework—using Microsoft Purview at a global medical products company.
Business Analyst driving data governance in banking: defining critical data elements, mapping data lineage, ensuring BCBS239/RDARR regulatory compliance, and improving data quality across source-to-reporting layers.
Provide technical leadership and architectural oversight for enterprise geospatial platforms, including cloud migration, system modernization, and integration using Esri ArcGIS Enterprise, AWS/Azure, and Python.
Lead architecture and technical oversight for enterprise geospatial (GIS) platforms, driving cloud migration, system upgrades, and integration design across AWS, Azure, and hybrid environments.
Data Engineer role focused on designing and maintaining scalable data platforms, ETL/ELT pipelines, and data warehouses. Core technologies include SQL, Python, Apache Spark, Hadoop, Hive, Informatica/Talend, and PostgreSQL.
Data Governance Consultant strengthening regulatory compliance, data quality, and governance frameworks in the banking sector — focused on BCBS239, data lineage, data dictionaries, and metadata management.
Senior Data Engineer designing and maintaining scalable data platforms and ETL/ELT pipelines using Python, PySpark, SQL Server, and containerized workloads (Kubernetes/Docker) in a corporate banking context.
Build and maintain ETL/ELT data pipelines and models using SQL and Python, supporting open lakehouse and medallion-layered architectures for commercial, operational, and enterprise data domains at a global climate and energy solutions company.
Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data . Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance,…
Data Engineer building and maintaining enterprise data pipelines, ETL/ELT processes, and Data-as-a-Product assets using SQL, Spark, Scala/Java, and cloud-based big data platforms (Hadoop, Kafka, etc.) for a large manufacturing company.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, and enterprise data products on cloud-based big data platforms using SQL, Spark, and distributed storage technologies.
Senior Data Architect at Bank of America designing and governing enterprise data architecture solutions across multiple lines of business, supporting analytics, regulatory reporting, and AI capabilities.
Principal Backend Engineer architecting and building scalable APIs and backend services for Harman's Roon music discovery/metadata platform, using Node.js/Python/Go, cloud platforms, Docker/Kubernetes, and databases like PostgreSQL and BigQuery.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Hands-on Staff Data Engineer (50%+ coding) at Early Warning (Zelle), architecting and building scalable data platforms, lakehouses, and ML pipelines using Snowflake, Databricks, Python/PySpark on AWS.
Work for the IMF. Work for the World. Under the direction of the Section Chief of Economic Data of ITD, the Senior/Economic Data Systems Engineer serves as an individual contributor. The position provides Fund-wide…
Lead backend engineering for HARMAN's Roon music discovery platform, architecting scalable APIs for music search, recommendation, and personalization using Node.js/Python/Go with cloud-native microservices on GCP/AWS/Azure.
The Manager of Data Governance leads the design and implementation of enterprise data and AI governance frameworks, policies, and quality standards. This role collaborates across departments to ensure data integrity, manage data assets, and establish accountability models for data stewardship.
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