Padmi

Head of Data Engineering (Noida)

Delhi NCRPosted 1 month ago
Technology ManagementStaff+Full Time; Regular
Apply at Invia

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Company Description About Company About INVIA: Headquartered in Sydney, Australia, Invia is a software services firm that specializes in delivering world class solutions to Telcos for their enterprise customers. With over 15 years experience working with telcos globally, were always looking to the future to overcome ongoing and emerging business challenges together. Founded in 2007 by some of the brightest brains in the industry, the Company's operations are managed by a team of highly skilled professionals spread across the globe. Some of the largest telcos including Telstra, Optus, Singtel, and many others benefit from our world-leading solutions which have been voted as the best in the industry. For fueling our aggressive expansion plans in India, we are on the lookout for enthusiastic team members who want to be a part of our growth story. Opportunities are open for IT Professionals to be based out of NOIDA, India. We offer excellent compensation, a friendly work environment and tremendous opportunities for growth. Pl visit our website www.invia.com.au for more information. Job Description We are seeking a highly skilled Head of Data Engineering to lead our data engineering team and manage the development and maintenance of our data infrastructure at our SaaS product company. The ideal candidate will have a strong background in Microsoft SQL Server and experience leading a team of data engineers in a SaaS product environment. Responsibilities: - Lead the data engineering team and manage the development and maintenance of our data infrastructure, with a focus on Microsoft SQL Server in a SaaS product workplace. - Design, develop, and implement data pipelines, data lakes, and data warehouses to support business and SaaS product requirements. - Collaborate with product leaders to understand data needs and develop solutions to meet those needs and improve our SaaS product offerings. - Ensure data quality and integrity by implementing data governance and data ma .

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