
Senior Data Engineering Developer
NVIDIA is looking for an experienced Senior Data Engineering Developer to join our team and take a leading role in the development of the NVIDIA data engineering platform. We are seeking an individual who is passionate about problem-solving and pushing the boundaries of data engineering, has the experience and drive to make a meaningful contribution to the team, and is excited to work with cutting-edge technologies.The ideal candidate will have a strong background in data engineering, a comprehensive understanding of the field, and a history of successful projects and successful data engineering solutions. We are looking for someone who is highly motivated, creative, and skilled in the areas of database design and application development, and who can quickly learn new technologies and techniques. The Senior Data Engineering Developer should also have a strong understanding of data analysis, data mining, and data visualization techniques.Required qualifications include: • 8+ years of experience in software development, data engineering, or a related field • Extensive experience in database design, application development, and DevOps • Experience with popular data engineering tools such as Apache Spark and Hadoop • A deep understanding of data analysis, data mining, and data visualization techniques • Expertise in developing data pipelines, ETL processes, and data warehouses • Experience with cloud-based solutions such as Amazon Web Services (AWS) or Microsoft Azure • Proficiency in a programming language such as Python, Java, or C++ • Ability to work effectively in a team environmentIf you have the passion, drive, and qualifications to take on this exciting role, we encourage you to apply!
Responsibilities:
- Develop and maintain data engineering platform for NVIDIA.
- Design and develop databases and applications.
- Utilize popular data engineering tools such as Apache Spark and Hadoop.
- Analyze, mine, and visualize data.
- Develop data pipelines, ETL processes, and data warehouses.
- Work with cloud-based solutions such as AWS or Azure.
- Write and debug code in programming languages such as Python, Java, or C++.
- Collaborate effectively with the data engineering team.
- Stay up-to-date with industry trends and technologies.
- Troubleshoot and resolve technical issues.
Strong Programming Skills In Python
C/C++
Sql
Expertise In Developing And Deploying Large Scale Distributed Data Processing And Analytics Pipelines
Solid Understanding Of Data Manipulation And Query Techniques
Experience With Data Streaming Technologies Such As Kafka
Spark
And Flink
Experience With Big Data Frameworks Such As Hadoop
Hive
And Presto
Working Knowledge Of Cloud Computing Platforms Such As Aws And Gcp
Strong Problem Solving And Debugging Skills
Ability To Work Effectively With Cross-Functional Teams
Sql
Python
Java
Data Analysis
Big Data
Data Modeling
Machine Learning
Hadoop
Data warehousing
Data Visualization
Cloud Computing
Data engineering
Data Processing
ETL tools
Data pipelining
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Organization
flexibility
Teamwork
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Engineering Developer is $120,000 to $180,000. This range can vary based on experience, location, and the size of the company.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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