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Designs and builds AWS-based data pipelines, data lakes, and cloud infrastructure to support analytics and ML workloads using infrastructure-as-code and serverless tools.
Build and optimize large-scale data pipelines with Apache Spark and Azure, then apply ML models for forecasting and anomaly detection in enterprise domains.
Designs and builds AWS-based data pipelines, migrates on-prem workloads to cloud, and sets up monitoring and CI/CD for scalable data platforms.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Build and optimize data pipelines using Spark, Scala, Python, and AWS to enable analytics and ML workflows for clients.
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Design and maintain scalable data pipelines and storage systems to support AI-driven analytics and operations, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
Designs and maintains large-scale data pipelines using Python/Scala, Spark, and cloud tools in a hybrid role.
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Design, build, and maintain data pipelines and models to support analytics and business decisions using Java/Scala/Python and cloud platforms.
Designs and manages end-to-end data pipelines in on-prem and cloud environments, builds a new Data Platform, and creates data marts and dashboards for business analytics.
Build and optimize distributed Big Data pipelines and ETL workflows using Java, Apache Spark, Kafka, and Cloudera for financial-sector clients.
Design and build BI systems for public-sector data, including ETL pipelines, SQL databases, and Metabase dashboards to drive decision-making.
Designs and maintains ETL pipelines, data warehouses, and data models using Python, SQL/NoSQL, and Qlik/Qlik-Sense to process and deliver business data efficiently.
Build and maintain scalable data pipelines for a digital shopping marketplace using Spark, Kafka, and AWS to power real-time and batch analytics.
Designs and maintains scalable data pipelines and cloud infrastructure for clients in telecom, media, finance, automotive, and consumer sectors using Python, Spark, Kafka, and cloud platforms.
Develops backend microservices for cybersecurity platforms, including data pipelines, threat detection, and ML lifecycle management using Java/Python/Scala/Go.
Overview Entrerai a far parte di un team di professionisti che ogni giorno fa la differenza, lavorando su progetti strategici e affrontando sfide tecnologiche di grande impatto. Sarai coinvolto nella definizione e…
Develops and maintains Java-based software components, writes unit and integration tests, and troubleshoots bugs in a SaaS environment.
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