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Understand business use of data and stakeholder requirements and convert to technical requirements Leverage data,software engineering and data science techniques to create business value through data accessibility.Includes data ingestion, data preparation and analytics processing.Identify, acquire, cleanse & prepare, store data, and develop data products aligned with defined architecture patterns Responsible for normalizing and ingesting data from multiple sources.Enable analytics and visualizations by making data available for analytics models and contributing to models.Work with the team to scale and deploy solution including model, documentation, training, integrationExperience with data acquisition, preparation, and validation data movement and transformation analytics solution architecture big data computing, cloud computing and core data architecture Technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Azure SQL, GIT, ADOExperience level must be 10+ yearsNice to have Knowledge of software engineering using C#, Python, Java, Ansible