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Data Engineer - Python position at Centre Léon Bérard in Lyon, France. The role involves developing, maintaining, and optimizing ETL processes in Python, automating data processing, and contributing to data infrastructure projects, particularly in the healthcare domain with a focus on cancer research data.
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
Builds and maintains data pipelines, transforms raw data into structured formats, and ensures data quality/reliability for BI and analytics. Core focus: ETL, SQL, data modeling, and BI tooling (e.g., Tableau).
Data Engineer building scalable data pipelines, web scraping, and browser automation solutions using Python and SQL to power AI-driven healthcare analytics platforms.
Data Engineer in Lahore building scalable data pipelines, web scraping systems, and data ingestion workflows for AI platforms using Python and browser automation frameworks.
Leads enterprise data platform development including ETL pipelines, data warehousing, and BI integrations for York University’s systems like SIS, PeopleSoft, and Dynamics 365.
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Lead Data/Analytics Engineer responsible for designing event instrumentation pipelines, building data models, and driving product experiments in a veterinary telemedicine startup. Core tech stack: Snowflake, dbt, Amplitude, Segment, Prefect, and Sigma.
Designs and builds scalable data pipelines using Microsoft Fabric and Azure Databricks, focusing on API-driven ingestion, cross-platform data integration, and Power BI analytics with Direct Lake.
Design and optimize scalable ETL/ELT pipelines on Microsoft Azure and Fabric to build Lakehouse, data warehouses, and models for investment analytics in asset/wealth management.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Build scalable data pipelines and ETL workflows in Python and Spark, then deliver insights via dashboards in Power BI or Looker for a healthcare-focused product team.
Builds and modernizes data pipelines, migrates ETL to ELT, and creates reports/dashboards using SQL, Power BI, and related tools to support business decisions.
Lead the design and optimization of scalable cloud-based data platforms and pipelines to power analytics and decision-making across a global media group.
Lead Data Engineer designing and leading scalable cloud-based data platforms for analytics and BI. Responsibilities include ETL/ELT pipelines, data models, governance, and mentoring a team of data engineers.
Designs and optimizes cloud-based ETL/ELT pipelines and curated datasets to power BI dashboards and self-service analytics for reporting.
Designs and builds secure Azure data pipelines, models, and reports for a government programme, delivering insights from large-scale datasets.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Designs and maintains scalable data pipelines and models for a global streaming giant, handling batch and live event data to power customer-facing features and global analytics.
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