Description
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**Responsibilities and Assignments**
* Collaborate with data engineering teams to understand requirements and deliver efficient solutions;
* Develop and maintain Azure, Databricks (PySpark), Python, Data Lake, and SQL technologies;
* Use Python ElementTree for efficient XML data manipulation and integration of heterogeneous data;
* Develop Python scripts using Pandas for structured data manipulation and analysis;
* Ensure system availability, stability, and continuous evolution for client systems, guaranteeing high performance;
* Address security and business requirement compliance through proactive management, process automation, and continuous improvement of support services;
* Focus on data quality and integrity by implementing testing and monitoring practices;
* Maintain comprehensive technical documentation for implemented processes and solutions;
* Support corrective actions, assist with production deliveries, and monitor CHGs;
**Requirements and Qualifications**
* Experience with SQL (Regex), Databricks, PySpark, and Python: foundational knowledge of these technologies;
* Knowledge of text manipulation in programming and data analysis, especially Regex;
* Experience in SQL data modeling and basic distributed computing;
* Availability to work on-call after business hours and on weekends;
* Experience with Data Lake;
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