Data Engineer AWSPower Platform

As a Data Engineer specializing in AWS and Power Platform, you play a crucial role in our organization's data infrastructure. Your primary responsibility is to design, build, and maintain scalable and reliable data pipelines to facilitate data processing, analytical insights, and business intelligence. You will collaborate with data scientists and analysts to understand data requirements and develop appropriate solutions. Key Responsibilities: - Design, build, and maintain scalable and reliable data pipelines on AWS and Power Platform. - Implement data models and ETL processes for structured and unstructured data sources. - Optimize and maintain databases, data lakes, and data warehouses. - Ensure data quality and integrity through data validation and cleansing processes. - Develop and manage real-time and batch data processing solutions. - Implement security and compliance measures in data storage and processing. - Provide technical expertise in data visualization and reporting tools. - Conduct performance tuning and optimization of data solutions. - Document data processes, pipelines, and architecture. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Strong experience in data modeling, ETL, and data warehousing. - Proficiency in AWS services such as S3, Redshift, Glue, and EC2. - Experience with Microsoft Power Platform including Power BI and Power Query. - Expertise in SQL, NoSQL databases, and data query languages. - Familiarity with cloud-based data solutions and serverless architectures. - Proven ability to work with large-scale data processing frameworks. - Understanding of data governance, security, privacy, problem-solving, and analytical skills. - Strong communication and collaboration abilities. In summary, as a Data Engineer focusing on AWS and Power Platform, your role is crucial in designing, building, and maintaining data pipelines to facilitate data processing and business intelligence. Your qualifications include a degree in a related field, strong experience in data modeling, proficiency in AWS services and Power Platform, expertise in SQL and NoSQL databases, and the ability to work with large-scale data processing frameworks. Your responsibilities also include ensuring data quality, implementing security measures, providing technical expertise, and documenting data processes. Your communication and collaboration abilities will be essential in this role. As a Data Engineer specializing in AWS and Power Platform, you play a crucial role in our organization's data infrastructure. Your primary responsibility is to design, build, and maintain scalable and reliable data pipelines to facilitate data processing, analytical insights, and business intelligence. You will collaborate with data scientists and analysts to understand data requirements and develop appropriate solutions. Key Responsibilities: - Design, build, and maintain scalable and reliable data pipelines on AWS and Power Platform. - Implement data models and ETL processes for structured and unstructured data sources. - Optimize and maintain databases, data lakes, and data warehouses. - Ensure data quality and integrity through data validation and cleansing processes. - Develop and manage real-time and batch data processing solutions. - Implement security and compliance measures in data storage and processing. - Provide technical expertise in data visualization and reporting tools. - Conduct performance tuning and optimization of data solutions. - Document data processes, pipelines, and architecture. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Strong experience in data modeling, ETL, and data warehousing. - Proficiency in AWS services such as S3, Redshift, Glue, and EC2. - Experience with Microsoft Power Platform including Power BI and Power Query. - Expertise in SQL, NoSQL databases, and data query languages. - Familiarity with cloud-based data solutions and serverless architectures. - Proven ability to work with large-scale data processing frameworks. - Understanding of data governance, security, privacy, problem-solving, and analytical skills. - Strong communication and collaboration abilities. In summary, as a Data Engineer focusing on AWS and Power Platform, your role is crucial in designing, building, and maintaining data pipelines to facilitate data processing and business intelligence. Your qualifications include a degree in a related field, strong experience in data modeling, proficiency in AWS services and Power Platform, expertise in SQL and NoSQL databases, and the ability to work with large-scale data processing frameworks. Your responsibilities also include ensuring data quality, implementing security measures, providing technical expertise, and documenting data processes. Your communication and collaboration abilities will be essential in this role.