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Designs and maintains analytical data models, builds transformations, and optimizes Power BI dashboards using SQL, PySpark, and DAX.
Design and build scalable data pipelines using PySpark, Spark SQL, Kafka/Event Hub, and Delta Lake to deliver clean, analytics-ready data for cybersecurity insights.
Build and optimize scalable data pipelines on Databricks to ingest cybersecurity logs and network data, curating high-quality datasets for analytics using PySpark, Spark SQL, and Delta Lake.
Builds and optimizes data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud tools (AWS/Snowflake) to enable real-time insights and predictive modeling for a global financial services firm.
Build and maintain scalable data pipelines and cloud infrastructure in GCP to support analytics, ML, and real-time personalization at a large retail company.
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Design and implement data pipelines, integrate datasets, and build dashboards using SQL, Python, PySpark, and ETL tools to deliver analytics solutions.
Build and maintain data pipelines, ETL jobs, and reporting dashboards using Cloudera, SQL, Python, PySpark, and Tableau.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Powering the Future with AIDA To lead the next phase of our AI evolution, we've launched a new business unit AIDA - Artificial Intelligence & Data Analytics - a strategic engine driving our transformation…
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.
Middle Data Analyst builds and improves anti-fraud and spam-blocking tools using big data, SQL, Python, and ML, analyzing telecom data to protect users from scams and unwanted calls.
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…
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