.Explore our latest thought leadership, ideas, and insights on the issues that are shaping the future of business and society.Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Discover our portfolio – constantly evolving to keep pace with the ever-changing needs of our clients.Become part of a diverse collective of free-thinkers, entrepreneurs and experts – and help us to make a difference.We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.Responsibilities:Build, optimize, and maintain scalable data pipelines to process large datasets from various sources using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.Implement ETL (Extract, Transform, Load) processes to integrate and transform data for analytical and operational purposes.Design and implement cloud-based data architectures using Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, and Azure Synapse Analytics.Build and manage data lakes, data warehouses, and data marts to enable seamless data flow and storage.Develop and maintain backend systems that handle data processing, storage, and retrieval with technologies such as Python, Spark, SQL, and Azure Data Factory.Ensure data consistency, quality, and reliability across multiple systems and services.Build and maintain data visualization applications, dashboards, and data exploration tools using Power BI, Azure Synapse, or other front-end tools.Create user-friendly data interfaces and reports for business users, ensuring that data insights are accessible and actionable.Work with both relational and non-relational databases on Azure, including Azure SQL Database, Cosmos DB, and Azure Data Warehouse.Optimize and tune databases for performance, including query optimization, indexing, and partitioning.Automate data workflows and deployment pipelines using Azure DevOps, Terraform, or similar infrastructure-as-code tools.Implement CI/CD (Continuous Integration/Continuous Deployment) processes for data systems and analytics solutions.Implement best practices for data security, including encryption, role-based access control (RBAC), and data masking.Ensure compliance with data governance policies and standards, ensuring the data is clean, accurate, and available.Work closely with data scientists, analysts, and business stakeholders to understand data needs and provide solutions.Provide technical leadership and mentorship to junior team members, helping them grow their skills in cloud data engineering.Monitor and optimize the performance of data systems, ensuring high availability and scalability.Troubleshoot and resolve issues related to data integration, transformation, and reporting.What you'll bring:Proficiency in Python or Scala for data engineering and automation tasks.Strong SQL skills for data querying, data transformation, and performance tuning