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Leads the Data Engineering function, owning strategy, architecture, and delivery across a Microsoft Fabric-led data estate. Requires expertise in Microsoft Fabric, Delta Lake, medallion patterns, and enterprise data integration with platforms like Salesforce and Workday.
Data Engineer designing and building production-grade data pipelines using Microsoft Fabric, PySpark, and Azure technologies for regulated UK public-sector clients.
Lead architecture and implementation of scalable Data Lakehouse solutions on GCP (BigQuery, GCS, BigLake, Dataplex), design real-time and batch data pipelines, establish data governance practices, and serve as technical lead and client advisor.
Designs and builds scalable data infrastructure for a manufacturing company, focusing on ETL pipelines, data lakes, and analytics to support operations and future AI/ML workloads.
We are seeking an experienced AI Solution Architect with deep expertise in Data, AI/ML, Microsoft AI Foundry and Databricks to join our client AGL and lead the design and delivery of scalable, secure, and…
Job Title : Data Modeler / Data Engineer Location: Dallas, TX (Onsite/Hybrid as per client requirement) Duration: Long-Term Contract Required Skills : 8 years of Data Modeling / Data Engineering experience Strong…
Senior Software Engineer on Instacart's Ads team building scalable reporting systems and data pipelines to deliver accurate insights for advertisers and retailers using technologies like Rails, Go, Spark, and Snowflake.
Build and scale Instacart’s open lakehouse foundation, governance, and multi-engine compute platform using Apache Iceberg, Spark, Kafka, and Trino to power real-time analytics and AI-driven data workflows.
Build and maintain financial data pipelines and models in Snowflake and dbt to power accounting, billing, and revenue reporting for a large grocery-delivery platform.
Builds and maintains scalable data models/pipelines using Databricks, SQL, PySpark, and Azure to transform raw logistics/warehouse/IT data into reliable analytics assets for Mexico/LATAM, ensuring governance, documentation, and cross-team collaboration.
CI&T is seeking a developer to build scalable, cloud-native enterprise applications using Java and Python while leveraging AI-powered tools to automate engineering workflows. The role focuses on cloud-native development on Azure and improving developer productivity through AI-driven solutions.
Senior Data Engineer designing, developing, and industrializing data pipelines and platforms (data lake, lakehouse, data warehouse) using SQL, Python, Spark, Databricks, and cloud services for an IT consulting firm in Lyon.
Senior Data Engineer designing and maintaining batch and near-real-time data pipelines for EPI's Wero digital wallet, working primarily with Databricks, dbt, SQL, and Python in a remote-first, distributed European team.
Build and operate a resilient, scalable data and ML platform using Databricks, Snowflake, and cloud-native tools to support healthcare analytics and AI workloads.
AWS Databricks Data Engineer Remote We are seeking an experienced AWS Databricks Dat a Engineer to design, build, and maintain scalable data pipelines and cloudnative data infrastructure. The ideal candidate will have…
Designs and scales high-throughput, secure data platforms for defense/intel use cases, using Spark, Kafka, Kubernetes, and multi-cloud IaC while ensuring compliance and mentoring teams.
Senior Data Engineer at Renesas Electronics designing and building a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, with hands-on data engineering, architecture work, and SAP/manufacturing domain fluency.
Analytics Engineer building scalable data pipelines and models using SQL, Python, dbt, and Databricks for a global data and software solutions company.
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
The Data Engineer will design, develop, 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 data quality across the organization's data lakehouse.
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