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.
Builds and maintains AWS-based data pipelines for financial data using PySpark, AWS Glue, and serverless tools, while ensuring governance and performance.
Analyse business data using SQL, Python/R, and BI tools to build reports and dashboards that guide product and operational decisions.
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose – driving…
Key Responsibilities: Develop and optimise data pipelines and ETL/ELT processes. Build and maintain data warehouse and data lake structures. Ensure data quality, governance, and security across platforms. Collaborate…
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Design and build ETL/ELT pipelines in Snowflake to move and transform financial data for analytics and reporting.
At Mitel, you will have the opportunity to help businesses connect, collaborate and provide better experiences for our customers. You will deliver valuable contributions in creating business success within our global…
Build and maintain scalable ETL/ELT pipelines in Azure for life-sciences data, using Databricks, PySpark, and Data Factory to support regulated clinical and commercial analytics.
Build and optimize data pipelines, ELT/ETL workflows, and analytics models in Snowflake and dbt to power business intelligence and product metrics for a global identity-security platform.
Analyzes healthcare sales and operational data to create dashboards and reports that guide business strategy using SQL, BigQuery, Tableau, and Python.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at…
Lead a team of data engineers to build and maintain Sidley’s enterprise Databricks Lakehouse platform, setting technical standards and ensuring scalable, governed data solutions using PySpark, Delta Lake, and Azure Databricks.
Build and maintain data pipelines, models, and segments for National Geographic’s subscription business, using SQL, Python, and cloud warehouses to drive marketing and personalization.
Build and optimize data pipelines and models on Databricks and Streamlit using Python, PySpark, and Azure to power analytics and trading in energy markets.
Lead a data engineering team to build and optimize pipelines, warehouses, and governance for P&C insurance analytics using Snowflake, ETL/ELT, and data catalogs.
Builds and maintains scalable data pipelines and analytics platforms for Amazon’s Marketplace, using AWS tools to process partner and customer data for business insights.
Design and build a scalable enterprise data Lakehouse, integrating systems and setting data governance standards to drive analytics and business decisions.
Designs and builds scalable, secure data pipelines and cloud data warehouses for healthcare analytics, ETL/ELT, and AI/ML workloads using Python, SQL, dbt, Airflow, and cloud platforms like Azure/AWS/GCP.
Designs and governs Masco’s enterprise data model and master data foundations for POS and retail analytics, setting standards for modeling, attribution, and data quality to build an AI-ready foundation.
Designs and maintains scalable data models and architectures for Kraft Heinz, enabling BI reporting, AI applications, and data products across global operations.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
