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Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Leads a team building full-stack web apps and ETL pipelines using Microsoft SSIS and Visual Studio for a global professional services firm.
ETL Entwickler Data Warehousing (m/w/d) – SSIS / Microsoft SQL Server Für ein Projekt im Gesundheitswesen suchen wir eine erfahrene ETL Entwickler mit Schwerpunkt Data Warehousing, ETL Engineering und Microsoft SQL…
Build and maintain BI reports and dashboards in SSRS/Tableau, evolve the Data Warehouse and ETL pipelines, and support global users across an international agro-industrial group.
Builds and optimizes data pipelines and ETL processes using SQL, SSIS, Python, and cloud tools to support e-commerce inventory and sales operations for a major fashion retailer.
Senior Data Engineer builds and optimizes SQL Server BI pipelines (T-SQL, SSIS) to move automotive data into analytics-ready structures and cloud services.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management using Python, Apache Airflow, T-SQL, and Snowflake to replicate BMC Helix data.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management, using Python, Apache Airflow, T-SQL, and Snowflake to replicate and integrate BMC Helix data.
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and Azure Data Factory to power scalable cloud analytics and BI reporting.
Leads a team of data engineers to design and implement complex data pipelines using SQL Server SSIS, Active Batch, T-SQL, and Go Anywhere, while mentoring junior engineers and ensuring project delivery.
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Builds and optimizes SQL Server-based data warehouses and ETL pipelines with SSIS, then models tabular datasets in Power BI/SSAS for business reporting.
Design and maintain Azure-based security data pipelines, ETL processes, and analytics platforms to centralize and secure enterprise data across multi-cloud environments.
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Airflow to replicate and process BMC Helix data in a SAFe Scrum team.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Apache Airflow for near real-time data replication.
Data Engineer maintains SQL Server databases, optimizes performance, and implements small-scale changes for Inetum’s clients in Poland.
Builds and maintains data pipelines, ETL processes, and reporting systems using SQL, SSIS, SSAS, and PowerBI for a manufacturing and aerospace company.
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