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.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Lead a team to design and build scalable AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Designs and maintains scalable data pipelines using Azure Data Factory, Synapse Analytics, and PySpark to ensure high-quality, secure data access for analytics.
Lead a team building and optimizing AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE customer.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for large-scale analytics.
Lead a team to build and optimize AWS-based data platforms using PySpark, Glue, EMR, and Redshift for large-scale ETL/ELT pipelines and data warehousing.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Lead a team building sales-focused data products and AI-driven analytics for a logistics platform, modeling data flows and partnering with sales, product, and marketing teams.
Build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE-based client.
Lead a team building and optimizing large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting.
Builds Azure-based data pipelines with Databricks Spark and Data Factory, then surfaces insights via Power BI dashboards for analytics and reporting.
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Build and maintain healthcare data pipelines in AWS, create datasets for analytics, and support ML pipelines to improve patient care and streamline operations.
Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Build and optimize data pipelines and transformations on a Microsoft Fabric Lakehouse using PySpark and Power BI to deliver reliable analytics and reporting.
Build and maintain ETL pipelines in Python, PySpark, and SQL to transform large datasets and automate data workflows for analytics and reporting.
Build and run Azure-based data lakes and Spark pipelines, model data for Power BI, and enforce governance and quality in a large-scale digital transformation.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.