Data Engineer @ Philip Morris Polska Distribution Spółka z o.o.
(práce v Polsku)

Data Engineer @ Philip Morris Polska Distribution Spółka z o.o.

Polsko

• You have graduated in (Business) Informatics, IT, computer science or a related field.
• 5+ years of experience working with SQL Server such as Snowflake, S3 buckets, CI/CD pipelines, Jenkins or GIT.
• Proficient in SQL and an additional programming language such as PowerShell or Python.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Ideal candidates will have a deep understanding of technical and functional designs for Databases, Data Warehousing, ETL, Reporting, and Data Mining areas.
• Strong understanding of data modeling concepts and techniques, including dimensional modeling and schema design, to ensure efficient data storage and retrieval

MAKE HISTORY WITH US!     

WHO WE ARE?

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide.  

With a huge change comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.  

ROLE OVERVIEW:

You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver great results. As a data engineer in PMI Business Solutions, you will have the opportunity to be a part of something different. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building new system, delivering results, working on exciting and challenging projects. 

WHAT CAN WE OFFER YOU?  

• Private medical and dental care, life insurance;  
  
• Hybrid work opportunity and flexible working arrangements;  
  
• Employee pension plan;  
  
• Multisport program;  
  
• Holiday, cultural & Christmas bonus;  
  
• Wide range of trainings, optional language classes, further education and professional qualification support possibility;  
  
• Free bike and car parking for all employees.

,[ Creating, Testing and Deploying Pipelines: Design, develop, and maintain data pipelines for efficient data ingestion, processing, and delivery. , Ensure Data Completeness and Quality: Implement mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes. , Optimizing and Maintaining Warehouse: Continuously improve the performance and scalability of the data warehouse, implementing optimization techniques and best practices. , Continuous Improvement: Identify opportunities for process optimization and automation, striving for continuous improvement in data management practices. , Data Analysis: Analyze and interpret data to provide actionable insights and recommendations to stakeholders, supporting data-driven decision-making processes. , Work with Vendors: Collaborate with external vendors to integrate new data sources into the data ecosystem, ensuring seamless data flow and integration. , Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality. , Proactive Role: Actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data. ] Requirements: SQL, Python, Snowflake, PowerShell, Jenkins Additionally: International projects, Training budget, Sport subscription, Private healthcare, Bike parking, Free parking.

Kategorie

data

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