pThe Manager, Data Engineering
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Job description
Snowflake and Microsoft Azure and drive continuous improvement. /li /ul h3Data Engineering Delivery /h3 ul liLead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems. /li liManage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions. /li liEnsure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads. /li /ul h3Collaboration and Governance /h3 ul liContribute to the execution of the enterprise data and analytics strategy. /li liCollaborate with enterprise architecture, IT, and data governance teams to align with security, governance, and compliance standards. /li liPartner with data science, analytics, and business teams to enable advanced analytics and data-driven decision making. /li /ul h3Education /h3 pBachelorās degree in Computer Science, Information Systems, or a related field. /p pMasterās degree is a plus. /p h3Work Experience /h3
Requirements
ppWeāre looking for motivated, engaged people to help make everyoneās journeys better. /p pThe Manager, Data Engineering leads the development and operation of scalable data platforms that support enterprise analytics including reporting, and machine learning initiatives. The manager leads a team of data engineers in building and maintaining reliable data pipelines in a modern cloud data environment to deliver high-quality, trusted data across the organization. The manager partners with analytics, data governance, and business stakeholders to ensure data solutions are in alignment with enterprise data strategy. /p h3Platform Leadership /h3 ul liLead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and machine learning initiatives. /li liEstablish and enforce data engineering standards, best practices, and development frameworks to ensure scalable and maintainable data solutions. /li liOversee the cloud data environment built on, ul li8-12 years of experience in data engineering, data platform development, or related roles. /li li3-5 years of experience managing or leading data engineering teams. /li liExperience designing and operating enterprise-scale data platforms and pipelines. /li liExperience working in large or global enterprise environments is preferred. /li /ul h3Skills /h3 ul liExpertise in cloud data platforms and data warehousing technologies, particularly Snowflake. /li liExpertise in Microsoft Azure services. /li liLeadership and Collaboration /li liStrategic and Analytical Thinking /li liCommunication and Execution /li /ul pIf you want to be part of a team that helps make travel and culinarymemories, join us /p /p
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