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An IT internship focused on building Power BI reports, designing data pipelines in Microsoft Fabric, and supporting AI-driven analytics for internal stakeholders.
Build and maintain data pipelines using SQL, Python, and Microsoft Fabric to power analytics and AI solutions for clients in a hybrid cloud environment.
Designs and implements scalable data pipelines using Microsoft Fabric to migrate, transform, and curate data for analytics, compliance, and reporting, focusing on ingestion, business rules, and downstream integrations.
Builds and maintains security features (key rotation, RBAC, API credentials) for LanceDB’s open-source vector database and AI data platform, using Rust/C++ and appsec best practices.
Build and optimize large-scale data pipelines, Spark workflows, and AI-augmented data platforms for Samsara’s IoT-driven operations platform, enabling real-time analytics and automation across industries like transportation and manufacturing.
Build and optimize large-scale Spark/PySpark pipelines and data platforms at Samsara, integrating IoT and enterprise data to power AI-driven analytics and automation for industries like logistics and mobility.
Designs and operates a cloud-based data platform for governance, risk, and compliance (GRC) SaaS, integrating business data, automating reporting, and building AI-driven workflows with governance controls.
Builds and maintains production data pipelines (Python/Airflow) to ingest, transform, and deliver data securely in Snowflake/Databricks, ensuring reliability and governance for Fanatics’ global sports commerce, collectibles, and betting platforms.
Ob Dein Fokus auf AI Data Engineering oder auf Data Science liegt – wir bieten Dir spannende Projekte von der Konzeption bis zur produktiven Umsetzung. Dabei kannst Du Deinen fachlichen Schwerpunkt gezielt in die eine…
Design and deliver scalable data solutions for enterprise clients using Python, SQL, and Databricks to optimize sales compensation and performance analytics.
Build governed data models and semantic assets on Databricks to enable self-service analytics for business domains like finance, marketing, and HR.
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
JOB DESCRIPTION Rise Analytics is a data and analytics technology company and a wholly owned subsidiary of Trellance, focused on helping financial institutions unlock the full value of their data. Through its…
About LakeHouse Senior Living LakeHouse Senior Living operates care and lifestyle-focused Independent Living, Assisted Living and Memory Care communities across five states, serving approximately thousands of residents…
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
Build and maintain Mettler-Toledo’s central data platform using Databricks, Snowflake, and Python to power analytics and AI across the company.
Designs and maintains ETL pipelines and data lakehouse architectures using Azure Synapse and Databricks to support analytics and business needs.
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
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