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**Responsibilities**:- Working with Endava’s customers to analyze existing systems and prepare plan for migrating databases and data processing systems to cloud- Defining and implementing cloud data strategy including security posture, target operating model, DR strategy and others- Deliver end-to-end data solutions - from early concept and planning, through early PoCs and benefits analysis, all the way to production roll outs.- Enhance client’s data landscape by improving data lineage, quality and reliability- Help organizations adopt AI/ML based solutions by introducing MLOps culture- Be part of technical advisory and cloud infrastructure team responsible for**Qualifications and Experience**:- Understanding of the entire software development lifecycle, CI & CD as well as Data/MLOps approach- Expert knowledge of SQL and at least one language used in Data Analytics/Science space (Python, R, SAS)- Knowledge of at least one programming language (Java, C#, C++)- Knowledge of Big Data and Orchestration tools such as Apache Airflow or Spark- Experience working with Relational and NoSQL databases- Basin understanding of GIT various automation servers (Jenkins, CircleCI, GitLab CI)- Knowledge of messaging systems- Basic Knowledge of containers, Docker and Kubernetes- Cloud certifications such as Associate Cloud Engineer will be an asset


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