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Lead a team to build and maintain scalable ETL pipelines and cloud data platforms for government projects using AWS services like S3, Glue, and Redshift.
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Builds and configures risk-management and regulatory-reporting platforms for banks, focusing on IFRS-9 ECL implementations using OneSumX, SQL, Oracle, and Power BI.
Build and maintain ETL/ELT pipelines and data integration solutions using SQL, Python, and cloud tools like AWS Glue and Lambda.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Qim info SA, située à Genève, recherche un(e) Support Niveau 2 Data Warehouse pour améliorer la gestion des incidents et fournir un support technique sur les environnements Data. Le candidat idéal aura une solide…
Build and automate data pipelines for a Geneva-based tech company using Python, SQL, ETL, and SSIS to support customer projects.
Builds, deploys and maintains data pipelines and ETL workflows using Python, SQL and DevOps tooling to feed analytics and business systems.
Build and maintain scalable Azure Databricks data pipelines and analytics for HR tech, using Spark, SQL and Azure services to automate employee lifecycle data flows.
Maintains and optimizes Microsoft SQL Server databases, ensuring performance, security, and high availability for production systems.
Designs and builds scalable, secure data platforms and pipelines using SQL Server, SSIS, Snowflake, and cloud-native services for enterprise analytics and governance.
Build and optimize SSIS pipelines and SQL queries to process and analyze data for clients in a consulting role.
Design and build data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI for enterprise clients, ensuring performance, governance, and security.
Senior Data Engineer rebuilding a bank’s legacy data platform using dbt, Dagster, and OpenShift, migrating to Data Vault 2.0 and real-time pipelines for risk, PnL, and financial data.
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.
Senior Data Engineer designs and builds modern data platforms using Microsoft Fabric, Lakehouse, and Azure, focusing on scalable architectures and Medallion patterns.
Designs and builds cloud data pipelines using Azure Synapse, Kafka, and Power BI to process real-time and batch data for finance and e-commerce clients.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Designs and builds data pipelines and warehouses using ETL tools, SQL/NoSQL databases, and big-data platforms to ensure clean, reliable data for analytics and business decisions.
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