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¡Seguimos buscando talento… y nos encantaría que te unieras a nuestro equipo! Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer, con más de 35.000 empleados a nivel…
Senior Data Engineer designing and operating a Databricks/Delta Lake data platform (Medallion architecture) that feeds dynamic pricing and BI in high-volume retail, using PySpark, SQL, and Azure Data Factory for pipeline orchestration.
Senior Data Engineer responsible for designing and operating a Databricks/Delta Lake data platform with Medallion architecture to power dynamic pricing and BI in high-volume retail, using PySpark, SQL, and Azure Data Factory.
Own and optimize PowerPlan’s Databricks platform, tuning Spark jobs, Delta Lake patterns, and Unity Catalog governance to improve reliability, cost, and performance for asset-intensive financial systems.
We are hiring an AI Data and Integration Engineer, Application Development! Reporting To: Assistant Vice President IT, Application Development Full-Time/Part- Time: Full-time Posting Date: August 21, 2026 Closing Date:…
Designs and leads enterprise data platform architecture, including cloud lakehouse solutions, Kafka-based event streaming, and integrations for analytics/AI/ML, bridging operational systems and business needs.
Builds scalable Python data pipelines and resolves complex data challenges on a platform integrating diverse data sources, with a focus on testing, CI/CD, and quality assurance in a small, collaborative team.
Builds Python-based data pipelines and applications, maintains data platforms with PySpark/Delta Lake, and automates processes with CI/CD in a small, impactful team.
Axtria is seeking a Solution Architect to design and implement scalable, compliant data architectures for the Japanese pharmaceutical sector using Informatica IDMC/IICS, Databricks, and modern data engineering frameworks. The role involves acting as a strategic advisor, managing data governance, and leading teams in building data pipelines while ensuring alignment with Japan-specific regulatory re
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
The Data Engineer will design and build data infrastructure, ETL/ELT pipelines, and data models to support analytics and AI applications. The role involves working with technologies like Python, SQL, PySpark, Databricks, and various database platforms to transform data into actionable insights.
The Senior AI Data Product Owner will lead the strategy, governance, and operational lifecycle of AI-ready data products using AWS and Databricks. This role involves managing data pipelines, implementing quality standards, and partnering with cross-functional teams to ensure scalable and reliable data for AI solutions.
The Senior Data Engineer will design and maintain data pipelines and backend services for a wealth management analytics platform using Python, Scala, and Azure-based technologies. The role focuses on building scalable data systems, ensuring data quality, and supporting real-time decisioning and reporting.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
Senior Full Stack Engineer owning end-to-end data pipelines, data modeling, and infrastructure for data quality and governance, while building systems to support AI/retrieval-based features in a regulated environment.
Builds and maintains data pipelines, dashboards, and geospatial analytics solutions to support real estate portfolio decision-making using tools like Power BI, Databricks, and ArcGIS. Bridges business needs with technical execution for clients and internal teams.
Lead a team of data engineers to build and optimize AutoZone's GCP Data Lakehouse platform, designing end-to-end data pipelines and ensuring governance, performance tuning, and scalability using GCP, Apache Spark, Delta Lake, and PySpark.
Designs and builds Databricks/Delta Lake data pipelines, Python/SQL transformations, and data models to support IT demand management and reporting, ensuring scalable lakehouse patterns for ingestion, harmonization, and downstream consumption. Collaborates with cross-functional teams to translate business needs into technical solutions and maintain production data quality.
Hands-on Data Platform Engineer providing L2/L3 operational support for Norton Rose Fulbright's Azure Databricks and Microsoft Fabric-based enterprise data platform, focusing on platform health, incident response, CI/CD, monitoring, and governance.
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.
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