Azure Data Engineer

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements Develop, manage, and optimize robust, reliable data pipelines using native Azure capabilities. Implement ADF workflows for data ingestion, data integration/ETL, and statistical model execution. Design high-performance data solution architectures. Bring data and analytics products into production environments. Implement CI/CD pipelines for data solutions. Build dashboards for data stewards and business reporting. Design and build RDBMS data models. Tech Stack: Azure SQL, Azure Data Factory, ADLS, MSBI, Power BI, C Must-Have experience in Azure Data Factory, Azure Databricks, PySpark / Scala, Logic Apps, Azure SQL, ADLS Gen2, Azure Key Vault, T-SQL, Stored Procedures Good to have experience in Synapse Analytics, Azure DevOps, Log Analytics, Infrastructure creation using Bicep, Terraform, Ansible Added Advantage: Python, credit risk modelling or any risk modelling, Azure Data Engineer certification Benefits A challenging, innovating environment. Opportunities for learning where needed.