Job
Description
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the focus is on equipping customers to generate sophisticated new insights from the biggest of big data. Join to do the best work of your career and make a profound social impact as a Senior Data Engineering Advisor on the Data Engineering Team in Bangalore. As a Senior Data Engineering Advisor, you will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets. You will have the opportunity to partner with Data Scientists, Architects, or Businesses to design strategic projects and improve complex processes. You will: - Design and build analytics solutions that deliver transformative insights from extremely large data sets. - Design, develop, and implement web applications for self-service delivery of analytics. - Design and develop APIs, database objects, machine learning algorithms, and necessary server-side code to support applications. - Work closely with team members to quickly integrate new components and features into the current application ecosystem. - Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies and implement these into the solution stack as appropriate. Every team member brings something unique to the table. Here's what is required for this role: Essential Requirements: - Bachelor's or advanced degree in Computer Science, Applied Mathematics, Engineering, or related field with 8 to 12 years of experience in using data technologies to deliver cutting-edge business intelligence solutions. - Strong communications and presentation skills, with the ability to articulate big data platforms and solution designs to both technical and non-technical stakeholders. - Knowledge in key data engineering technologies, including Big Data Tools, Cloud Services, Object-Oriented or Object Function Scripting Languages. - Working knowledge of statistics and machine learning concepts. - Demonstrated ability to write, tune, and debug performant SQL. - Experience with related technologies such as C#, .Net, HTML5, JavaScript, SQL Server, TeraData, Hadoop, Spark, and R. - Demonstrated ability creating rich web interfaces using a modern client-side framework. - Strong knowledge of computer science fundamentals, and demonstrated ability in applying these effectively in the real world. Desirable Requirements: - Bachelor's degree. Dell Technologies believes that each team member has the power to make an impact. The organization puts team members at the center of everything they do with opportunities to grow careers with some of the best minds and most advanced tech in the industry. Application closing date: 15 July 2025. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.,
