What is a Python Developer with Big Data Jobs?
A Python Developer with Big Data Jobs is a professional who is responsible for developing applications and software programs using the Python programming language. They are also responsible for working with big data technologies and tools to analyze and process large amounts of data. This position requires expertise in both programming and big data technologies to develop applications that can handle large amounts of data and provide insights into the data.
What Usually Do in This Position?
A Python Developer with Big Data Jobs is responsible for developing applications and software programs to process and analyze large amounts of data. They work with big data tools such as Hadoop, Spark, and NoSQL databases to collect, process, and analyze data. They also use Python libraries such as NumPy, Pandas, and SciPy to manipulate and analyze data. They are responsible for developing algorithms and models to extract insights from the data and present the findings to stakeholders.
Top 5 Skills for Position
- Python programming language
- Big data technologies such as Hadoop, Spark, and NoSQL databases
- Data analysis and manipulation using Python libraries such as NumPy, Pandas, and SciPy
- Machine learning algorithms and models
- Communication and collaboration skills
How to Become This Type of Specialist
To become a Python Developer with Big Data Jobs, one must have a degree in computer science or a related field. They must have knowledge of programming languages such as Python, Java, and C++. They must also have expertise in big data technologies such as Hadoop, Spark, and NoSQL databases. They should have experience in data analysis and manipulation using Python libraries such as NumPy, Pandas, and SciPy. One can gain experience by working on projects that involve big data technologies and programming languages.
Average Salary
The average salary for a Python Developer with Big Data Jobs in the USA is around $120,000 per year. The salary range varies depending on the location, years of experience, and expertise in programming and big data technologies.
Roles and Types
There are various roles and types of Python Developer with Big Data Jobs. Some of the roles are Data Analyst, Data Scientist, Data Engineer, and Machine Learning Engineer. These roles require different skills and expertise in programming and big data technologies. The type of Python Developer with Big Data Jobs can be Full-time, Part-time, Freelance, and Contract.
Locations with the Most Popular Jobs in USA
The locations with the most popular jobs for Python Developer with Big Data Jobs in the USA are San Francisco, New York, Seattle, Boston, and Chicago. These locations have a high demand for professionals with expertise in programming and big data technologies.
What are the Typical Tools
The typical tools used by Python Developer with Big Data Jobs are Hadoop, Spark, NoSQL databases, NumPy, Pandas, SciPy, and Jupyter Notebook. These tools are used for data analysis, manipulation, and processing.
In Conclusion
Python Developer with Big Data Jobs is a highly demanding job in the USA. It requires expertise in programming and big data technologies to develop applications that can handle large amounts of data. Developing algorithms and models to extract insights from the data is also an essential part of this job. The average salary for this job is around $120,000 per year. The locations with the most popular jobs are San Francisco, New York, Seattle, Boston, and Chicago.