Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead a Databricks-based data platform, designing scalable pipelines, governance, and standards while mentoring engineers and aligning solutions with business goals.
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
Build and maintain scalable data pipelines on Databricks using Python, PySpark, and SQL to support business decisions and governance.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions and data governance.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions.
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Senior Data Engineer builds scalable Azure Fabric pipelines using PySpark, SQL, and Databricks to deliver real-time data for analytics and AI workloads.
Design and build data marts, ETL/ELT pipelines, and dimensional models to support analytics and reporting for fintech clients using Databricks, AWS, and SQL.
Design and build cloud-based data pipelines and platforms for clients, enabling AI-driven analytics and modern data governance using tools like Azure, Snowflake, and Python.
Designs and builds ETL pipelines using Python and PySpark in Azure Synapse Analytics to move and transform data for clients.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate and deliver data for client insights.
Builds and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver reliable analytical data for reporting and insights.
Design and build data pipelines in Azure Synapse, ensuring high-quality, reliable data for analytics and reporting using SQL, PySpark, and cloud ETL/ELT tools.
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Builds and optimizes AWS-based ETL/ELT pipelines in Python/PySpark, ensuring data quality and cost efficiency for global projects.
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
Build and maintain ETL/ELT pipelines and data warehouses on AWS, using Python, SQL, and PySpark to deliver clean datasets for analytics and reporting.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.