You should have 8-12 years of experience in a Data Engineer role, with at least 3 years as an Azure data engineer. A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required. You must be proficient in Python, SQL, and have a deep understanding of PySpark. Additionally, expertise in Databricks or similar big data solutions is necessary. Strong knowledge of ETL/ELT frameworks, data structures, and software architecture is expected. You should have proven experience in designing and deploying high-performance data processing systems and extensive experience with Azure cloud data platforms. As a Data Engineer, your responsibilities will include designing, constructing, installing, testing, and maintaining highly scalable and robust data management systems. You will apply data warehousing concepts to design and implement data warehouse tables in line with business requirements. Building complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as Oracle ERP, ERP Fusion, and Salesforce is essential. You must have the ability and expertise to extract data from various sources like APIs, JSONs, and Databases. Utilizing PySpark and Databricks within the Azure ecosystem to manipulate large datasets, improve performance, and enhance scalability of data operations will be a part of your role. Developing and implementing Azure-based data architectures consistent across multiple projects while adhering to best practices and standards is required. Leading initiatives for data integrity and normalization within Azure data storage and processing environments is expected. You will evaluate and optimize Azure-based database systems for performance efficiency, reusability, reliability, and scalability. Additionally, troubleshooting complex data-related issues within Azure and providing expert guidance and support to the team is necessary. Ensuring all data processes adhere to governance, data security, and privacy regulations is also a critical part of the role.,
As a Data Engineer, you should have 8-12 years of experience in a Data Engineer role, with at least 3 years as an Azure data engineer. A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required. You must be proficient in Python, SQL, and have a deep understanding of PySpark. Additionally, expertise in Databricks or similar big data solutions is necessary. Strong knowledge of ETL/ELT frameworks, data structures, and software architecture is expected. You should have proven experience in designing and deploying high-performance data processing systems and extensive experience with Azure cloud data platforms. Your responsibilities as a Data Engineer will include: - Designing, constructing, installing, testing, and maintaining highly scalable and robust data management systems. - Applying data warehousing concepts to design and implement data warehouse tables in line with business requirements. - Building complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as Oracle ERP, ERP Fusion, and Salesforce. - Extracting data from various sources like APIs, JSONs, and Databases. - Utilizing PySpark and Databricks within the Azure ecosystem to manipulate large datasets, improve performance, and enhance scalability of data operations. - Developing and implementing Azure-based data architectures consistent across multiple projects while adhering to best practices and standards. - Leading initiatives for data integrity and normalization within Azure data storage and processing environments. - Evaluating and optimizing Azure-based database systems for performance efficiency, reusability, reliability, and scalability. - Troubleshooting complex data-related issues within Azure and providing expert guidance and support to the team. - Ensuring all data processes adhere to governance, data security, and privacy regulations. Qualifications required for this role: - 8-12 years of experience in a Data Engineer role, with at least 3 years as an Azure data engineer. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. - Proficiency in Python, SQL, and a deep understanding of PySpark. - Expertise in Databricks or similar big data solutions. - Strong knowledge of ETL/ELT frameworks, data structures, and software architecture. - Proven experience in designing and deploying high-performance data processing systems and extensive experience with Azure cloud data platforms.,
As a .NET Developer at our company, you will be responsible for developing web applications using C# / .Net Core and the .NET framework. Your role will involve working with ASP.NET, MVC, and Web API for web application development, as well as utilizing your knowledge of SQL Server for database systems. Your qualifications should include a Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). You should have proven experience as a .NET Developer or Software Developer, along with a strong understanding of software development methodologies and best practices. Problem-solving skills and the ability to collaborate effectively in a team environment are essential, along with excellent communication and interpersonal skills. Key Responsibilities: - Develop web applications using C# / .Net Core and the .NET framework - Utilize ASP.NET, MVC, and Web API for web application development - Work with SQL Server for database systems - Follow software development methodologies and best practices Qualification Required: - Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience),