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Lead the delivery of multiple AI and Data Engineering engagements — managing pods, reviewing architectures, and engaging clients — with deep hands-on knowledge of LLMs, RAG, Agentic AI, data pipelines, and cloud platforms.
Overview of EIT RawMaterials EIT RawMaterials is a ‘Knowledge and Innovation Communities’ (KICs) created by the European Institute of Innovation and Technology (EIT), aimed at promoting innovation in the raw materials…
Business Intelligence Solutions Architect WHAT YOU’LL DO: The BI Solutions Architect designs semantic models, administers enterprise BI platforms, and maintains governance standards that enable trusted, scalable…
Senior Full Stack Engineer with a focus on data infrastructure, designing and owning end-to-end data pipelines, storage, and retrieval systems while contributing to broader product architecture and AI-ready system design.
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
Data Engineer especializado en AWS que diseña, desarrolla y mantiene procesos ETL/ELT para integración y transformación de datos en entornos cloud, con enfoque en migración de Oracle a AWS y procesamiento distribuido con Apache Spark.
Manage reliability and performance of a Hadoop cluster for operational data storage import substitution using Hadoop, Postgres, Spark, Airflow, and Trino.
Lead Data Engineer responsible for designing, developing, and managing modern data platforms using Microsoft Fabric. The role involves building ETL/ELT pipelines, implementing Lakehouse structures, ensuring data governance, and mentoring junior engineers.
Designs and governs enterprise data architecture on cloud platforms, building scalable data warehouses, lakes, and pipelines to support analytics and reporting.
A Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
Overview Sr. Manager, Data Engineering Location: Tire Rack – South Bend, IN Department: Information Technology Employment Type: Full-Time, Exempt Schedule: Monday–Friday, typically 8:00 a.m.–5:00 p.m. About the Role…
Build and optimize data pipelines for government analytics using SQL, Python/Scala, and cloud tools like Snowflake and Databricks.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Architect and build the data platform on AWS (medallion/lakehouse architectures, real-time data pipelines, CDC, event-driven workflows) that powers AI-driven capabilities and analytics across the company.
Design and validate data pipelines and GenAI solutions on Databricks using Python, Spark, and SQL. Manage model risk and data governance, implementing MLOps/LLMOps practices in a hybrid environment.
Build and maintain data pipelines, ETL/ELT processes, and cloud-based data lakes/warehouses using Azure and Databricks to deliver clean, secure data for analytics and AI.
Junior Data Engineer helping build and maintain scalable ETL/ELT pipelines and database infrastructure to support AI and advanced analytics solutions, primarily using Python and SQL.
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
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