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Build and maintain scalable data pipelines and warehouses using BigQuery, dbt, Python, and GCP services to ensure reliable, high-quality data for analytics and reporting.
Build and maintain ETL pipelines, optimize cloud data solutions, and design reports in Azure for a healthcare-focused team.
Build and maintain ETL pipelines, reports, and cloud data solutions in Azure to ensure data integrity and availability for HR and healthcare systems.
Validate ETL pipelines and data warehouses by writing SQL queries, executing test plans, and ensuring data accuracy for enterprise clients.
Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive…
Job Summary We are looking for a detail-oriented ETL Tester to validate data extraction, transformation, and loading (ETL) processes across enterprise data platforms. The ideal candidate will have strong SQL skills,…
Build and maintain data pipelines and models in AWS, integrating sources like SQLServer and Redshift to power BI dashboards and analytics for clients.
Build and maintain data pipelines, optimize databases, and ensure data quality using SQL, Python, and AWS services like Redshift and S3.
Designs and maintains data pipelines, warehouses, and analytics infrastructure using SQL, Python, and AWS services to support reporting and modeling for clients.
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and cloud tools to support analytics and decision-making.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Leads a team to design and maintain scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Lead a team to design and build scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Build and maintain data pipelines and models in AWS, integrating sources like SQL Server and Redshift to power BI dashboards and analytics for clients.
Senior Data Engineer designs and optimizes Snowflake-based data pipelines and architectures, ensuring reliable data delivery for teams using SQL, Talend, and data governance practices.
Designs and optimizes ETL pipelines and builds Power BI dashboards to turn raw data into business insights for internal clients.
Designs, codes, and maintains ETL pipelines and data workflows using Python, SQL, and containerization tools like Docker and Kubernetes.
M.C. Engineering Srl Torino, Italia Consulenza Lavoro a distanza Intervallo 25.000,00-40.000,00 EUR all'anno Posizione Cosa farai con noi? Come Data Quality Engineer entrerai a far parte di un importante progetto…
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