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Senior Data Engineer building and optimizing PySpark pipelines for large-scale data processing and analytics at a European digital-services consultancy.
Build and maintain data pipelines using Spark (JVM/Python) and cloud infrastructure (AWS/GCP), collaborate with data scientists to deploy ML models, and optimize performance and cost.
Design and build autonomous AI agents and multi-agent systems using RAG architectures with vector databases, LangChain, and LangGraph to automate business processes and integrate with CRM, media, and analytics platforms.
Senior Data Engineer builds and optimizes AI-powered data pipelines for a global pharma sales platform using AWS and Snowflake.
Designs and implements ETL pipelines to move and transform data between BigQuery, Cloudera/Hive, and SQL Server, collaborating with cross-functional teams.
Designs and builds scalable data pipelines and BI models in Snowflake and Databricks, then exposes insights via Power BI for business stakeholders.
Designs and scales data pipelines and cloud infrastructure, integrating Generative AI into production workflows while guiding engineering teams on best practices.
Senior Data Engineer builds scalable AI-powered data pipelines for pharma sales tools using Snowflake, DBT, and AWS in a global team.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Builds Python services and scalable data pipelines for ML/AI systems, optimizing LLM workloads and orchestrating workflows on Kubernetes/GCP.
Build and maintain ML models and data pipelines using Python, PySpark, and AWS SageMaker for advanced analytics projects.
Build and maintain data pipelines using Python and AWS to support AI-driven analytics and solutions in a collaborative, hybrid role.
Builds and maintains data pipelines, APIs, and automation on Microsoft Azure using Python, Azure Functions, Data Factory, and Databricks.
Design and scale graph-based data infrastructure for a knowledge graph platform, building pipelines and modeling RDF graphs with tools like Neo4j or Amazon Neptune.
Build and maintain data pipelines, clean and integrate financial data, and create BI dashboards to support decision-making in a fintech company.
Senior Data Engineer builds and maintains large-scale data pipelines for AI-driven performance marketing at a travel-focused adtech company.
Build and evolve a data architecture using AWS, SQL, and Python, focusing on Lakehouse, ETL/ELT pipelines, and governance for AI-driven marketing, development, and cybersecurity projects.
Builds and maintains data pipelines using PySpark, Spark SQL, and Azure Lakehouse to power BI and analytics workloads.
Builds and maintains ETL pipelines and SQL databases, then visualizes data in Power BI dashboards for a fintech firm in Madrid.
Builds end-to-end data pipelines and analytics solutions in the cloud using SQL, ETL tools, and AWS or Azure.
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