Company: | NETAPP |
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Job Role: | Data Engineer |
Experience: | (3-7years): |
Vacancy: | 2+ |
Qualification: | Bachelor's degree in Science, Computer science, Management information system, Business or related field. |
Salary: | Upto Rs.70000 |
Location: | Bengaluru India |
Join us on Telegram | Click Here |
Apply Mode: | (Online) |
Deadline: | Not Mentioned |
Job Description:
- Engineers are liable for planning and making the information distribution center and all connected extraction, change and heap of information capacities in the organization. After the basis has been laid, engineers likewise should test their plans to guarantee the framework chugs along as expected. Moreover, engineers should be specialists at taking a higher perspective on an organization's information circumstance. A range of abilities that numerous businesses search for is called information demonstrating. This implies engineers should have the option to peruse, break down and digest what a business needs to achieve with its information, and plan the most ideal interaction around those objectives. Information base plans take on numerous structures, including star and snowflake compositions.
- Put together, lead, and work with numerous groups on exceptionally intricate, cross-practical, endeavor information and examination drives
- Create and keep up with versatile information pipelines and work out new reconciliations to help proceeding with expansions sought after for different kinds of information
- Team up with key partners to characterize KPI and fabricate information measurements to gauge KPI's
- Collaborate with business in information investigation (little and enormous) and show decision making ability in taking care of issues just as proactively distinguishing and settling information issues
- Investigates undertaking information and finds designs, significant connections, irregularities and patterns to create noteworthy bits of knowledge
- Characterize and foster intellectual answers for business needs, consolidating innovations in Machine Learning, AI, and Analytics
- Should have solid topic ability in no less than two spaces of Sales, Marketing, Install Base, Finance, and Customer Support regions.
- Shown capacity to have finished numerous, intricate specialized activities
- Information demonstrating experience in Enterprise Data Warehouse, DataMart and ETL instruments like Pentaho, DataStage.
- Involved involvement with SQL, XML, SSL, RESTful APIs, and other related norms.
- Involved accentuation with a demonstrated history of building and assessing information pipes, and conveying frameworks for conclusive creation.
- Openness to Big Data Analytics (information and advances), Data Sciences, prescient examination, demonstrating, AI, in-memory applications
- Involvement in different information frameworks like Oracle Data Warehouse, SAP HANA.
- Solid comprehension devops, on-reason, and cloud arrangements - AWS, Google, Azure
- At least 3 to 7 years of involvement in Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required
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