Data Engineer @ Scalo

Competencies required for service delivery:

• Practical experience in building and developing data warehouses, very good knowledge of Oracle (Oracle Exadata is a plus), design and implementation of ETL processes, data modeling, and data flow design

• Experience working with SAS and SAS Viya environments and tools, including DI Studio, Enterprise Guide, SAS Studio, and Visual Analytics

• Experience working with Oracle environments, including experience with Oracle Exadata, PL/SQL, and data processing optimization is welcome

• Knowledge of CI/CD issues and technologies, including Git, Bitbucket, Bamboo, JIRA, and practical experience in automating the development process

• Ability to design and build analytical solutions, technical data marts, BI reports, and components supporting data processing

Competencies welcome:

• Knowledge of Microsoft Fabric, Power BI, Python, REST API, Office 365, and data integration issues between systems
• Knowledge of Azure Data Factory, data integration between cloud and on-premise, and data platforms in Azure
• Knowledge of modern data architectures and the design of data exchange interfaces between systems
• Knowledge of the Parquet format, working with Data Lake layers, and experience in integration based on Kafka and data streams

Hi! Discover the opportunities for cooperation with Scalo!

At Scalo, we deliver software projects and support our partners in growing their businesses. We create software that enables people to make changes, operate at a faster pace, and achieve better results. We use a wide spectrum of IT services to support our clients in achieving their business goals.

Our areas of activity include, among others:

• technology consulting,
• software development,
• embedded systems,
• cloud solutions,
• data management,
• dedicated project teams.

What do we offer as part of our cooperation?

• the opportunity to provide services in diverse projects in the areas of Software, Embedded, Data, and Cloud Services,
• involvement in additional pre-sales and expert initiatives,
• access to medical care, a sports card, and a cafeteria platform in accordance with the current cooperation principles.

,[Building tools to support Data Warehouse developers, including common, reusable components in SAS, SAS Viya, Oracle technologies, and other technologies used in DW, Building APIs and integration components connecting technologies used in DW, including SAS, SAS Viya, Oracle, PowerBI, Microsoft Fabric, Office 365, REST API, and other technical solutions, Building tools to support data exchange between PZU IT systems, including integration, file, API, and streaming solutions, including Kafka, POC of new tools and technologies for potential implementation in PZU DW, including SAS Viya, Oracle Exadata, Microsoft Fabric, Power BI solutions, and team automation tools, Building tools to monitor DW user activity and support quality control, audit, maintenance, and optimization of data processing processes, Development of the Sanmargar Metastudio 4 dictionary system, Participation in DW processing optimization works, by building supporting components, point analyses, processing optimizations, and maintenance task automation, Building technical data marts, BI reports, and components supporting data processing and optimization, Support for strategic projects in technological, integration, and architectural aspects, Service delivery model: hybrid, including 1 day per week at the Warsaw office, Budget: up to PLN 150 net + VAT/H/B2B] Requirements: Oracle, Exadata, ETL, SAS, SQL, Git, Bitbucket, Bamboo, Jira, BI, Python, REST API, API, Azure Data Factory, Cloud, Azure, Data Lake, Kafka Additionally: Sport subscription, Training budget, Private healthcare, International projects.