Senior Data Engineer — Scale Global Data Platform… - Jobeax
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Senior Data Engineer — Scale Global Data Platform Pipelines w Polska
Sii Poland
Polska
Sii is seeking an experienced Senior Data Engineer to join a pharmaceutical project. You will design, develop, and maintain scalable data platforms that support advanced analytics and business decision-making across markets worldwide.
This role contributes to a modern data platform used across diverse teams and environments, delivering high‑quality, data‑driven solutions on a global scale. You will build and maintain data pipelines using Python, apply object‑oriented design and design patterns,
... project, Senior Data Engineer role in an innovative data team, focused on ETL processes and cloud data tools. You will build and optimize data pipelines, ensure data quality and work with cross-functional teams to deliver actionable insights. The role includes migrating data from legacy systems to next-generation platforms, ...
... Databricks, Delta Lake, Azure Data Factory, C#, Microsoft Azure Optional, Microsoft Power BI About the project, Senior Data Engineer role focused on end-to-end data engineering in modern cloud architectures, bridging business needs with technical solutions. Join agile product teams to manage MDM data products, optimize data flows, ...
... Senior Data Engineer to join a growing Data & Analytics team and play a key role in developing and improving the company's data platform. Expected, Snowflake Data Cloud, SQL, Azure DevOps Optional, Azure DevOps, Microsoft Azure, Databricks Your responsibilities, Develop and maintain data pipelines and data warehouse solutions ...
... improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments - Build and optimize ETL/ELT pipelines and data architectures using Airflow , dbt , and SAP Data Services - Support modernization and migration of legacy data systems toward cloud-native architecture ...
Warszawa, Polska
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HIBERUS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Wymagane, Python, Pandas, AWS, DynamoDB, Git Mile widziane, Veeam, Azure DevOps O projekcie, Dla naszego klienta szukamy doświadczonego Senior Data Engineera do projektu z obszaru data engineering, skoncentrowanego na budowie i rozwoju skalowalnych rozwiązań chmurowych. Tak pracujemy, rozwijasz kilka projektów jednocześnie, ...
... Python, SQL, Microsoft Azure, Azure Data Factory, ETL/ELT, CI/CD, Databricks, Streaming Optional, dbt Operating system, Windows, macOS About the project, As a Senior Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory ...
... user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components., •Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data ...
... agile, scrum Team members, technical leader, big data developer, data scientist, project manager Your responsibilities, Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability., Design and implement data pipelines that process large volumes of data in both ...
... Responsibilities: - Develop, operate, and continuously improve cloud-native APIs and microservices powering the Vehicle Data platform - Design, build, and maintain reliable data ingestion and processing pipelines - Implement and optimize automated data quality controls across multiple vehicle data sources - Ensure high availability, stability, ...
... user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components., •Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data ...
... site Your responsibilities, Design and implement data processing solutions using Databricks for large-scale and diverse datasets., Design, build, and enhance data pipelines with Python and cloud-native tools., Work closely with solution architects to define and uphold best practices in data engineering., Ensure data consistency, ...