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Data Manager/Data Engineer designs and maintains reliable data frameworks, orchestrates ETL pipelines, and translates business needs into usable BI solutions for clients.
Senior data engineer designing and building Microsoft Fabric-based analytics pipelines for clients, using Azure Data Factory, SQL, and cloud architectures to deliver BI, Big Data, and AI solutions.
Designs and maintains robust cloud data pipelines for a consulting team, focusing on Big Data and DevOps tooling.
Senior Data Engineer role supporting Oracle databases and building SQL queries, plus creating data visualizations for client teams.
Build and maintain data pipelines in Python/PySpark and SQL, working with Hive/Hadoop/Cloudera and Snowflake/BigQuery to support a media-sector client’s data platform.
Build and maintain Python and PySpark data pipelines on AWS for large-scale data processing and cloud-based analytics.
Build and maintain data pipelines in SQL and Python/PySpark to deliver insights for Pluxee’s employee-benefits platform.
Build and maintain scalable data pipelines using dbt and SQL to model and transform enterprise data for analytics and reporting in a modern data warehouse.
Build and maintain dbt data models in Snowflake/BigQuery, design layered data architectures, and set up CI/CD pipelines for a 3-month freelance role.
Builds and maintains data pipelines and APIs using Semarchy xDi, Spring Boot, and databases like Teradata and PostgreSQL.
Builds data pipelines and predictive models for EV-charging infrastructure in collective housing, analyzing consumption patterns and optimizing grid impact using Python, Spark, and PostgreSQL.
Designs and builds data models and Snowflake datamarts to power customer analytics, reporting, and targeting for a marketing team.
Build and maintain a healthcare data platform, using NLP and ML to extract, validate, and document unstructured patient data while ensuring compliance and quality.
Build and optimize NLP pipelines to extract, validate, and document unstructured patient data for a healthcare data warehouse, using Python/R and ML libraries like PyTorch.
Build and maintain data pipelines, deploy AI solutions (LLMs, RAG, assistants), and industrialize ML workflows using Python, Spark, and cloud platforms like Azure.
Senior Data Engineer building and optimizing Karavel’s data warehouse (Snowflake, SSIS, Python) to power BI, reporting, and analytics for a travel-group, while mentoring junior engineers and improving Data Ops pipelines.
Build and deploy ML models for supply-chain forecasting using AWS EKS and MLOps pipelines; design robust data pipelines and monitor production systems.
Design and maintain scalable data pipelines on Teradata and Big Data platforms for a major bank, then collaborate with data scientists to build and industrialize predictive models and AI-driven insights.
Designs and implements Azure-based data pipelines using Data Factory and Synapse for a consultancy serving tech clients.
Designs and builds scalable data pipelines in AWS using Python and SQL to feed a global data lakehouse for a trading firm.
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