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Design and develop data pipelines and ETL processes, integrate data sources, and optimize data platforms for clients in public, energy, and banking sectors using Python, SQL, and cloud technologies.
A consumer products organization in Massachusetts is seeking an Azure Full Stack Developer (.NET) to help design, build, and maintain scalable cloud-based applications and data solutions. About the Opportunity: Shift:…
Build and maintain Microsoft Fabric-based data pipelines and transformations for a healthcare AI platform that predicts risks and improves care outcomes.
Lead the design and build of scalable Azure-based data pipelines and medallion-architecture lakes to ingest and transform enterprise data (Microsoft, SAP, CRM, retail) for analytics and AI workloads.
Location: Gurgaon,None,None Lead Data Engineer Overview We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD. This…
Location: Gurgaon,None,None Company Overview: About us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our…
This role owns Evismart's data platform end-to-end—building pipelines from in-house systems and tools like HubSpot, QuickBooks, and Jira into a central warehouse, and ensuring every team across the company sees the same trusted numbers. The Data Architect leads 2 engineers and works with Databricks, Azure cloud services, dbt, and medallion architecture to support self-serve data access and AI tool
Establish the single source of truth for customer data. Then use it to get every customer to value, fast. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart™ has grown fast — data…
Principal Backend Engineer builds and scales Python-based AI-native CRM systems using FastAPI, PostgreSQL, and LLM integrations, owning architecture and data flows for a remote-first startup.
Data Platform Engineer designing scalable data warehouses/lakehouses, building ELT pipelines, and integrating diverse data sources (API, SQL, NoSQL, streaming) while ensuring data governance and quality.
Data Engineer BI role responsible for gathering business requirements, designing data pipelines, modeling data for BI, implementing ETL/ELT processes, developing data warehouses, and creating visualizations using tools like Power BI, Tableau, or Qlik. Core technologies include SQL, Python, ETL/ELT solutions, and cloud environments.
Build and industrialize data pipelines and infrastructure for public sector and energy clients using Apache Spark, Databricks, Snowflake, and Cloud tools.
Designs and deploys modern data platforms, models data warehouses/lakehouses, builds ELT pipelines, and creates data products using SQL, Python, Snowflake, GCP, dbt, Airflow, and Docker.
Data Engineer - Manager/Specialist role at Publicis Groupe in Paris, leading a team to design and implement data pipelines, ETL/ELT processes, and data storage solutions using big data technologies like Spark, Hadoop, Kafka, and cloud platforms including Azure, AWS, and GCP.
Designs and develops robust ETL/ELT pipelines, models data, and ensures quality/security; uses Power BI, Tableau, or Qlik.
Design and operate ETL/ELT pipelines, datamarts, and data warehouses for reporting using cloud platforms (Azure/AWS/GCP), with focus on data governance and security.
Design and deploy robust data pipelines, model BI data, and supervise ETL/ELT flows. Work on cloud environments (Azure/AWS/GCP), utilize BI tools (Power BI, Tableau, Qlik), and support CI/CD deployment industrialization.
We are seeking a hands-on Manager – BI & Analytics to lead the design, development, and delivery of enterprise-scale BI and analytics solutions. The ideal candidate will have deep expertise in Power BI, Tableau,…
Build and optimize Microsoft Fabric-based data pipelines and lakehouse/warehouse architectures for a global travel-rewards business, using PySpark, T-SQL, and AI tools to modernize legacy systems and enable real-time analytics.
A Staff Software Engineer focuses on building a next-generation intelligent data platform for private markets, designing and delivering core data pipeline components (normalization, schema mapping, validation, enrichment, distribution), driving technical architecture, building AI evaluation infrastructure, using AI-native development practices, and establishing technical standards. Core responsibi
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