Details

Contract

Full-Time

Location

Krakow, Poland

Department

Information Technology

Openings

1

Job ID

37480924

MAKE HISTORY WITH US! 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 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. JOIN US! WHO ARE WE LOOKING FOR? • A Cloud native (AWS) with Hands-on coding skills in SQL, Python, Spark, YAML etc. and an API centric mindset. • Hands-on ETL/ELT and Programming skills on a variety of databases (SQL Server, MongoDB, Hive, Sybase, AWS Stack etc.) • Strong statistical knowledge (Linear Regression, PCA) to understand and define the appropriate thresholds for DQ metrics • Hands-on Power BI skills with Data Savvy and analytical mindset • SAP Information Steward would be a great asset WHAT WE OFFER? • private medical and dental care, life insurance; • lunch card (Sodexo) • remote work opportunity and flexible working arrangements; • employee pension plan; • multisport program; • cafeteria program; • wide range of trainings, optional language classes, further education and professional qualification support possibility • free bike and car parking for all employees. HOW CAN YOU MAKE HISTORY WITH US? • Lead Data Quality Profiling activity using SAP Information Steward • Define and build the DQ interfaces and data in motion monitoring and testing; • Enhance data quality library of technical and business quality rules. • Support the Data quality warehouse on the analytical database (Snowflake) • Translate business rules into DQ rules and help apply them on the target system/pipeline, including enterprise landing (S3 buckets). • Analyzing and testing the DQ pipelines (data in motion and business rules) • Refining improving and testing of the business rules using a variety of query languages (SQL, Data Frames, Hive, PySpark etc.) in order to validate the quality rules proposed by the business • The scope of this role will be partly business facing to ensure we are moving the right direction based on what the data is telling us • Building and defining DQ Metrics (Power BI) • Design, build and maintain portfolio of Data Quality Reporting/Dashboard templates • Visualization and dashboard presentation techniques to ensure the message is clear, cogent and effective.

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