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 team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Owns and builds an S3-backed OLAP data lake and Airflow-driven ETL pipelines for a marketing analytics platform, choosing formats, schemas, and near-real-time processing.
Lead a team to design and maintain a high-volume marketing analytics data lake on AWS, defining ETL pipelines, Airflow orchestration, and S3 partitioning for near-real-time insights.
Lead a team to design and maintain high-volume marketing analytics pipelines using AWS S3, Athena, EKS, and Airflow for near-real-time processing.
Lead a data engineering team to design, build, and optimize AWS-based data pipelines and architectures, ensuring high-quality ETL/ELT processes and data lake solutions.
Builds and maintains Azure-based data pipelines using ADF, Databricks, and Synapse, automating ingestion, processing, and orchestration within a secure cloud ecosystem.
Builds and maintains ETL pipelines and data warehouses in Snowflake and AWS, modeling data and setting up landing zones for raw ingestion as part of a migration effort.
Build and optimize data pipelines (ETL/ELT) on Azure to feed BI dashboards and analytics for a global hotel group.
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Designs and builds scalable Azure data pipelines using ADF and Databricks to ingest, process, and orchestrate data while enforcing governance and data quality.
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
Build and maintain data lake components and production-grade ingestion pipelines for analytics, ML, and product features at an online education platform.
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Build and maintain cloud-based data pipelines and modern data platforms for a global financial firm, using Python, Spark, and Azure.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Builds reliable data pipelines and BI dashboards to make information accessible for technical and business teams using SQL and tools like Power BI or Tableau.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
