Zakaria Khchiche

-Participate in defining the application IT solution for the assigned applications,

-Carry out technical and detailed designs,

-Design, analyze, code and test application evolutions within the scope of responsibility, in accordance with needs and respecting standards and procedures,

-Ensure the consistency and sustainability of developments,

-Participate in improving quality and performance,

-Intervene in problem management and incident resolution,

-Contribute to the development of technical standards,

-Work in an agile context (using Jira and participating in agile committees),

-Participate in defining the application IT solution for the assigned applications.

Technical environment: BIG DATA, Hadoop, SPARK, HIVE, Hbase, Dataiku, Oracle, Mysql

-Data processing (spark, scala, python, on databricks)

-Database modeling

-Pipeline creation

-Automatic distributed computation on Spark (scala, pyspark)

-Data orchestration on Microsoft Azure via datafactories

-Industrialization of machine learning models (AI, ml ops)

-Data Lake monitoring

-Pipeline development with Datafactories

-Stored procedures in SQL

-Data injection into NoSQL databases (cosmos dB, redis, ...)

-Design data solutions for collecting, cleaning, organizing, synthesizing, and effectively modeling data;

-Deploy and optimize complex data flows with Azure Data Factory for data ingestion, Databricks for loading, transformation, and storage of data in parquet/delta tables format, and Spark/Python/Scala for developing loading and transformation libraries;

-Implement CI/CD pipelines to validate code quality and ensure simplified deployments;

-Monitor data quality and ensure proper implementation of governance rules;

-Work in close collaboration with Data Scientists and business lines;