Source description
About the role
Job Description: As a Data Engineer, you will play a crucial role in designing, developing, and implementing data pipelines for scalable solutions using various technologies such as Databricks or Microsoft Fabric. Your responsibilities will include conducting code reviews, providing effort estimates for solution implementation, and maintaining comprehensive documentation for proposed solutions. You will lead architectural design efforts for product and application development, ensuring best practices in data engineering and architectural solution design. Additionally, you will stay updated with the latest advancements in the data engineering field to drive innovation and maintain a competitive edge. Collaborating with audit professionals and driving efforts in the data engineering and architecture practice area will be key aspects of your role. Key Responsibilities: - Design, develop, and implement data pipelines for scalable solutions - Conduct code reviews and recommend best coding practices - Provide effort estimates for solution implementation - Develop and maintain comprehensive documentation for proposed solutions - Lead architectural design efforts for product and application development - Implement best practices in data engineering and architectural solution design - Stay updated with advancements in the data engineering field - Collaborate with audit professionals to understand business, regulatory, and risk requirements - Drive efforts in the data engineering and architecture practice area Qualifications Required: - Educational qualifications: BTech in Computer Science/ MTech/ MCA - Full-time education - Minimum 6 to 8 years of experience in designing and developing data-centric applications using various tools and technologies such as databases, reporting, ETL/ELT, NoSQL, etc. - At least 4 years of experience in designing and architecting solutions using Microsoft data technologies like ADF/SYNAPSE - Relevant data professional certifications in AWS, GCP, or Azure Job Description: As a Data Engineer, you will play a crucial role in designing, developing, and implementing data pipelines for scalable solutions using various technologies such as Databricks or Microsoft Fabric. Your responsibilities will include conducting code reviews, providing effort estimates for solution implementation, and maintaining comprehensive documentation for proposed solutions. You will lead architectural design efforts for product and application development, ensuring best practices in data engineering and architectural solution design. Additionally, you will stay updated with the latest advancements in the data engineering field to drive innovation and maintain a competitive edge. Collaborating with audit professionals and driving efforts in the data engineering and architecture practice area will be key aspects of your role. Key Responsibilities: - Design, develop, and implement data pipelines for scalable solutions - Conduct code reviews and recommend best coding practices - Provide effort estimates for solution implementation - Develop and maintain comprehensive documentation for proposed solutions - Lead architectural design efforts for product and application development - Implement best practices in data engineering and architectural solution design - Stay updated with advancements in the data engineering field - Collaborate with audit professionals to understand business, regulatory, and risk requirements - Drive efforts in the data engineering and architecture practice area Qualifications Required: - Educational qualifications: BTech in Computer Science/ MTech/ MCA - Full-time education - Minimum 6 to 8 years of experience in designing and developing data-centric applications using various tools and technologies such as databases, reporting, ETL/ELT, NoSQL, etc. - At least 4 years of experience in designing and architecting solutions using Microsoft data technologies like ADF/SYNAPSE - Relevant data professional certifications in AWS, GCP, or Azure
More at BSR & Co