Company Description At IntelliDash, our goal is to answer any business question in the time it takes to introduce ourselves. IntelliDash is an online subscription-based Analytics As a Service platform that harnesses data from Manufacturing Organizations to provide valuable insights via immersive dashboards and reports. Role Description This is a full-time on-site role for a Data Engineering Architect located in Coimbatore. The Data Engineering Architect will be responsible for designing and managing data architectures, developing data models, and ensuring data governance. Additional tasks include overseeing the Extract Transform Load (ETL) processes, maintaining data warehouses, and collaborating with analytics and development teams to ensure data integrity and efficiency. Qualifications \n Experience in Data Governance and Data Architecture Proficiency in Data Modeling and Extract Transform Load (ETL) processes Expertise in Data Warehousing Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to work independently and as part of a team Experience in the manufacturing analytics industry is a plus Bachelor's or Master’s degree in Computer Science, Information Technology, or related field
You will be joining IntelliDash as a Data Engineering Architect in Coimbatore on a full-time on-site basis. Your primary responsibility will be to design and manage data architectures, develop data models, and ensure data governance. You will oversee Extract Transform Load (ETL) processes, maintain data warehouses, and collaborate with analytics and development teams to uphold data integrity and efficiency. To excel in this role, you should have a strong background in Data Governance and Data Architecture, along with proficiency in Data Modeling and ETL processes. Expertise in Data Warehousing is essential, coupled with excellent analytical and problem-solving skills. Your communication and collaboration abilities will be crucial in working independently and alongside a team. Prior experience in the manufacturing analytics industry would be advantageous. A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required.,