Hace 4 sem
Azure Data Engineer
Salario no mostrado por compañía
Hace 4 sem
Azure Data Engineer
Salario no mostrado por compañía
Infosys Technologies, S. de R.L. de C.V.
en
Sobre el empleo
Detalles
Descripción
5-10 yrs in IT / Advanced English / Bachelor of Engineering, Technology or Computer Science (concluded) / Experience: Azure (+5 yrs)
About us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation.
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys is an EOE (equal opportunity employer) and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Job responsibilities
• Candidate must be located within commuting distance of Mexico City or be willing to relocate to the area.
• Bachelor's Degree or foreign equivalent, will consider work experience in lieu of a degree
• Experience securing Cloud based modern data platforms
• 5+ years hands-on experience in developing, and successfully operationalizing complex/large scale data management projects
• Experience in python and spark to manage big data transformation and processing.
• Experience in SQL Development, specifically with complex queries
• Good understanding and hands-on experience implementing data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW, Azure SQL DB, Azure Event Hub, Azure Stream Analytics, Azure Functions, Azure Analysis Service, Databricks.
• Proven experience in the design and implementation of modern data lake, in Data Delivery/Analytics, Data Modeling , ETL Tools developing highly automated and documented solutions
• Collaborates with data scientists , understand their requirement of data engineering and do implementation.
• Experience with Lean / Agile development methodologies
• CI / CD exposure
Below certifications will be a huge plus
WE OFFER
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- Base salary 100% payroll scheme
- Law benefits and superior
ID: 18537647