Insight Global
Senior Data Engineer
A Consulting client of Insight Global is hiring for a Senior Data Engineer to join their team. In this role, you will be building data pipeline solutions by designing, adopting, and applying big data strategies and architectures. You must have knowledge of scalable system implementations with a focus on complex data processing and analytics pipelines. You must demonstrate an understanding of data integration, data transformation, data modeling, and data cleansing. The Sr. Data Engineer must be able to demonstrate innovative approaches to complex problems which deliver industry-leading experiences for business stakeholders. Design and develop a logical data model for a large multi-tenant application with intent to facilitate consistency and efficiency. Collaborate with analysts and internal clients to understand the goals of the overall system data architecture, and further develop on business needs/issues. Test/troubleshoot problems and conduct root cause analysis. Own communications with technical contacts at software vendors to escalate software issues, recommend enhancements, and find sustainable workarounds to issues. Work in tandem with analysts and other stakeholders to develop and execute necessary processes and controls around the flow of data to meet data governance standards. Verify accuracy of table changes and data transformation processes. Deliver fully tested code prior to prod-deployment when appropriate. Recommend and implement enhancements that address system performance requirements, streamline processes and improve data integrity. Create sound technical documentation and train peer developers on this documentation as development completes. Additional duties as assigned to ensure company success. The compensation for this role varies depending on depth and length of experience, and can range from 27-36 LAKH.
A Consulting client of Insight Global is hiring for a Senior Data Engineer to join their team. In this role, you will be building data pipeline solutions by designing, adopting, and applying big data strategies and architectures. You must have knowledge of scalable system implementations with a focus on complex data processing and analytics pipelines. You must demonstrate an understanding of data integration, data transformation, data modeling, and data cleansing. The Sr. Data Engineer must be able to demonstrate innovative approaches to complex problems which deliver industry-leading experiences for business stakeholders. Design and develop a logical data model for a large multi-tenant application with intent to facilitate consistency and efficiency. Collaborate with analysts and internal clients to understand the goals of the overall system data architecture, and further develop on business needs/issues. Test/troubleshoot problems and conduct root cause analysis. Own communications with technical contacts at software vendors to escalate software issues, recommend enhancements, and find sustainable workarounds to issues. Work in tandem with analysts and other stakeholders to develop and execute necessary processes and controls around the flow of data to meet data governance standards. Verify accuracy of table changes and data transformation processes. Deliver fully tested code prior to prod-deployment when appropriate. Recommend and implement enhancements that address system performance requirements, streamline processes and improve data integrity. Create sound technical documentation and train peer developers on this documentation as development completes. Additional duties as assigned to ensure company success. The compensation for this role varies depending on depth and length of experience, and can range from 27-36 LAKH.