.**Description du poste**:**Description compl?mentaire**:Deliver Data Engineering Solutions in the Cloud- Deliver turn-key data mining and data value extraction tools based on sound AI/ML theory.- Build data engineering framework to support Data Migration to AWS Cloud technologies and deliver new projects as per new target architecture within AWS data cloud service.- Develop Data platform solutions using Amazon S3, Athena, Data Migration Services (DMS), AWS Glue, Lambda, Spark, and Python to load data across multiple sources into AWS.- Design, Implement and Deliver working AL/ML (Artificial Intelligence & Machine Learning) techniques to build models that support decision making and extract value from Datasets.- Building and optimizing data pipelines to facilitate the extraction of data from multiple sources and load it into data warehouses.- Using automation to streamline data processing and reduce development time.- Managing the production of data pipelines.- Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analytics.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.- Migration of solutions from legacy on-prem systems to the cloud.- Improving data flow and quality to ensure a single source of truth is delivered to the business.- Build and own the automation and monitoring frameworks that captures metri**Exigences du poste**:- Education: Bachelor's or Master's degree in computer science or Information Technology or Information Science or equivalent.- Experience: Minimum 5+ years of experience in the field of Data Engineering or Analysis or Operations or Data warehousing if Bachelors is obtained or 8+ years with relevant experience.- 4+ years of experience with Data Operations/Analysis, Data Warehousing & Data Analytics tools.- 4+ years of experience in SQL optimization, performance tuning and development experience in programming languages like SQL, PowerShell, Python, and PySpark.- At least 1 year experience in implementing AI/ML techniques (Artificial Intelligence & Machine Learning) on existing Data Sets.- Minimum 2+ years of experience with AWS Cloud Database/ Data Engineering such as Database Infrastructure, Data Warehousing, or Data Analytics tools.- At least two AWS Certifications Associate/Specialty level Certification.- Advanced knowledge of writing complex SQL & Automation Scripts using PowerShell & Python.- Experience with Business Intelligence Tools, Reporting and ETL technologies such as SSIS, SSRS, PowerBI, AWS Glue, EMR, Athena and QuickSight.- Experience with Relational Databases such as SQL Server, Oracle, MySQL and AWS Cloud database services: RDS, Aurora, Dynamo DB and Redshift