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Principal Data Engineer builds and optimizes high-performance data pipelines for a fast-growing fintech, using Azure, Snowflake, dbt, and Airbyte to power analytics and ML at scale.
Designs and builds scalable cloud data pipelines on AWS/Azure/GCP using Kafka, Spark, Python, and SQL to transform raw data into insights for a fintech company.
Build and maintain ETL/ELT pipelines, optimize SQL queries, and ensure data reliability in cloud environments for a data-driven organization.
Build and validate data pipelines for insurance/finance, transforming raw inputs into trusted reports using SQL, Power BI, and Excel.
Build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure, automating workflows and CI/CD to deliver reliable, high-performance data solutions.
Builds and maintains BI reports and dashboards using SQL, SSIS/SSRS/SSAS, and Microsoft tools to turn raw data into actionable insights for business decisions.
Senior systems analyst designs and improves IT systems, translating business needs into technical specs and leading system implementations for a Gauteng-based company.
Builds scalable C#/.NET backend services and cloud pipelines in Azure/GCP, integrating multi-component systems and optimizing databases for high-performance applications.
Build and deploy ML models, analyze datasets, and create dashboards for UK/EU clients in a remote-first data science role.
Build and deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
Senior systems administrator maintains corporate networks, servers, databases, and security for a fleet-management company, ensuring 99.98% uptime and GDPR compliance.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Builds and maintains data pipelines, models, and visualizations using Databricks, SQL, and Python to turn raw data into insights that guide business decisions and risk management.
Design, build, and operationalize secure, scalable cloud data platforms for clients, translating business needs into robust data architectures while mentoring teams.
Designs and maintains automated data pipelines and warehouses using SQL and Python to process and integrate business data.
Build and maintain scalable data pipelines on GCP and Snowflake to feed marketing analytics and AI-driven personalization for global brands, using Matillion, Rudderstack, and Amplitude.
Manage a team building cloud-scale data pipelines and AI-ready data products on Azure to power ML and Generative AI solutions.
Build and maintain scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
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