23 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, build, and optimize enterprise data solutions across data warehouse, data lake, and data science ecosystems.
- Own end-to-end data pipelines from source system analysis and data design through development and deployment.
- Develop data solutions using SnowSQL and Informatica Intelligent Cloud Services.
- Contribute to AI/ML initiatives and drive assigned programs to completion.
- Analyze source systems, perform data analysis, and solve complex data problems.
- Collaborate with customers and internal and external teams.
Requirements
- 2–4 years of experience.
- Bachelor's or master's degree.
- Strong technical knowledge of data warehouses, data lakes, and data science.
- Strong development experience with SnowSQL and Informatica Intelligent Cloud Services.
- Experience with source system study, data analysis, and data design.
- Strong analytical, logical, problem-solving, collaboration, and technology-learning skills.
- Willingness and ability to take on AI/ML assignments.
Categories
Data Engineering
About NetApp
NetApp builds data storage and data management software and hardware for enterprises, including ONTAP-powered all-flash arrays and hybrid cloud services that integrate with AWS, Azure, and Google Cloud. It sells systems and subscriptions that support backup, disaster recovery, databases, and container/Kubernetes workloads. Founded in 1992 and headquartered in San Jose, California, NetApp is a public company listed on NASDAQ.