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Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems. Build and maintain cloud-based data platforms, data lakes, and data…
QA role ensuring data quality for investment-banking platforms built on Databricks, Azure and Spark, designing tests for ETL/ELT pipelines and validating data transformations.
Build and maintain large-scale data pipelines for banking and insurance clients using Spark, Scala, Kafka, and Hadoop in a Big Data environment.
Lead end-to-end AI and advanced-analytics projects for an insurance company, building ML models and generative-AI solutions to drive business decisions and KPIs.
Build and scale LLM-based solutions, including agent orchestration, RAG pipelines, and cloud infrastructure, using Python, PySpark, and AWS services.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Build and deploy production-grade GenAI systems using LLMs, RAG, and agent frameworks in Python/PySpark on AWS, optimizing for reliability and scale.
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
¿Te apasiona el mundo de los datos y quieres formar parte de proyectos innovadores utilizando tecnologías de última generación? En NTT DATA estamos ampliando nuestro equipo y buscamos profesionales con ganas de seguir…
Design and implement Azure Data Factory pipelines, manage ADLS storage, and build ETL workflows using Python, Scala, and PySpark.
¡Nueva oportunidad en Capitole como Azure Data Engineer ! En Capitole seguimos creciendo y queremos que formes parte de nuestro equipo Data & AI. Buscamos un/a Azure Data Engineer para participar en proyectos…
Build and optimize a modern data platform for an insurance company using Azure, Databricks, and PySpark, focusing on secure, compliant Data Marts and Spark job tuning.
Builds and maintains data pipelines and serverless functions using Python, PySpark, AWS Lambda, Glue, and DynamoDB.
Builds analytics pipelines using Pig, PySpark, and Python to process large datasets for government or defense contracts.
Build and maintain scalable data pipelines on Databricks for a sportswear client, focusing on product margin reporting and data readiness tracking using PySpark.
Build and maintain Microsoft Fabric data pipelines, Power Apps, Power Automate workflows, and Power BI dashboards to automate business processes and deliver analytics for Bosch’s digital transformation.
Build and automate ML pipelines on Databricks, ensuring data/model observability, SLA/SLO compliance, and CI/CD for scalable AI services in a product-focused team.
Build and maintain scalable data pipelines using Databricks, PySpark, Azure Data Factory, and Python, ensuring data governance and quality for enterprise solutions.
Build and maintain a Databricks Lakehouse on Azure that ingests IoT energy data (smart meters, solar, storage) to power analytics and AI for Dutch businesses driving the energy transition.
Build and own scalable data pipelines, cloud warehouse, and BI tooling using Python, SQL, dbt, Airflow, and Snowflake/BigQuery to turn product signals into business intelligence for a remote-first SaaS and AI company.
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