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Python developer with DevOps,
Remote Poland

Project Description


Application Services Global Delivery Poland located in Warsaw, offers software development and maintenance services to DXC Technology customers all over the world. Poland Center focuses on Data Warehousing/Business Intelligence, Web Solutions, SAP R/3 and SAP BW implementation, Application Management, Quality Assurance & Testing, Business and Systems Analysis. Most of GDAS Poland Center employees hold multiple certifications from Oracle, Sun, Microsoft, SAP, OBI, ISEB, ISTQB, ITIL, CMMI, PMP and Six Sigma.

Responsibilities


The successful candidate will work within Analytics practice and be mainly responsible for data transformation- archiving projects focused on extraction of different types of data from the source and uploading to target solution. The work will be delivered for a strategic multinational customer from customer goods sector and will focus on archiving solution (OpenText InfoArchive).
The scope of responsibilities will cover delivery of data transformation and archiving automation. The successful candidate will work with stakeholders to understand business requirements and execute data archiving projects.
The work packages will be defined in direct agreement with business users on customer’s side. Responsibilities will include involvement in delivery of last level support for incident and problem resolution, implementation of fixes, development and release of approved changes based on customer requirements and needs.

Skills


Must have

• Experience with Python (object oriented programming)
• Data engineering (ETL) experienced
• Source code collaboration tool (GIT)
• Azure ML
• Fluent written and spoken English
• Solid problem solving and analytical skills
• Strong interpersonal skills
• Autonomous, strong ownership and drive to get things done
• Eagerness to learn and adaptability to changes
• Professional and responsible approach to work with customer focus

Nice to have

• Databricks (PySpark)
• Familiarity with CPG Industry
• Experience with the following Python libraries: azureml, pandas, pydantic, jinja2, pyspark, scikit-learn

Languages


English: B2 Upper Intermediate

Seniority


Regular