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Senior Data Engineer builds and optimizes Databricks-based ETL/ELT pipelines for a global investment firm using PySpark, Delta Lake, and modern Lakehouse architectures.
Design and optimize scalable ETL pipelines using PySpark and Databricks for a global financial institution’s data infrastructure.
Build and optimize cloud-native data pipelines and warehouses on AWS, using Python, Spark, and modern lakehouse practices to migrate and modernize customer data platforms.
Build and scale data pipelines on Databricks using PySpark, SQL, and reusable ingestion engines while ensuring data quality in a collaborative, remote-friendly environment.
Builds and optimizes cloud data pipelines using Scala, Python, or PySpark on Azure Databricks for a Spain-based data analytics firm.
Design and implement Microsoft Azure Data & AI solutions using Azure Databricks and PySpark for clients.
Builds and maintains data pipelines in Azure Databricks using PySpark and SQL, ensuring governance and quality across a lakehouse environment.
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Builds and maintains data pipelines using Azure Synapse, SQL, ETL/ELT, and PySpark to ingest and process data for impactful projects in a global team.
Builds and maintains data pipelines using PySpark, Kafka, and GCP services like BigQuery and Dataproc.
Build and optimize batch and real-time data pipelines using PySpark, Kafka, and GCP tools like BigQuery and Dataproc for large-scale data processing.
Design and optimize real-time and batch data pipelines using PySpark, Spark SQL, and Kafka to enable scalable analytics and data architectures.
Senior Data Scientist builds predictive models and analytics using Python, PySpark, and cloud tools to extract business insights and guide decisions.
Designs and optimizes AWS Glue and PySpark data pipelines for a banking client, ensuring scalable ETL and high data quality while mentoring junior engineers.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Designs and maintains Azure-based data pipelines for a banking project, using Databricks, Azure Data Factory, SQL, and PySpark to build and optimize data warehouses.
Builds end-to-end data pipelines and designs Databricks-based architectures using Python and PySpark.
Design and build enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads for an edtech company.
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