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Senior Data Engineer
1 month ago
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As a Senior Data Engineer in the Research & Development division of NetApp, you will play a crucial role in developing and maintaining our data infrastructure. Your responsibilities include designing, building, and optimizing data architecture, as well as managing data flow across the organization. Expertise in SQL Server/Oracle and MongoDB is essential to ensure data integrity, availability, and performance.
You will be part of a highly skilled technical team, working closely with senior software developers and technical directors. Your role involves contributing to system-level application architecture, including high-level design, coding standards, and software development and testing. The applications you develop will serve our internal sales team, partners, and customers.
This position requires a creative, team-oriented, tech-savvy individual who is results-driven and capable of working across teams.
Job Requirements
- Expertise and experience in data normalization practices.
- Designing and implementing scalable data models and databases in SQL Server/Oracle and MongoDB.
- Scripting experience using C# and Python is required.
- Developing and maintaining ETL processes and data pipelines from various sources.
- Experience with SQL Server Integration Services (SSIS).
- Ensuring data quality and consistency across data stores.
- Collaborating with cross-functional teams to gather requirements and deliver data solutions supporting business goals.
- Optimizing database performance through tuning, indexing, and query optimization.
- Implementing data security measures and ensuring compliance with data governance standards.
- Providing technical leadership and mentorship to junior engineers.
- Staying updated on industry trends in data engineering and database management.
- Designing scalable, available, secure, and elastic solutions using industry best practices and latest technologies.
- Evaluating technology options based on team skills and reusability of existing code, guiding architecture design and implementation.
- Defining integration strategies across application layers and with other subsystems and tools.
- Experience with big data technologies (Hadoop, Spark) is a plus.
- Proficiency in Python or Java programming languages.
- Proven experience with NoSQL databases, especially MongoDB.
- Expertise in SQL, data modeling, and data warehousing principles.
- Familiarity with ETL tools and processes.
- Strong understanding of database performance tuning and optimization.
Education
- 7+ years of experience in data engineering, with a strong background in SQL Server, Oracle, or related technologies.
- Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is preferred.