Key Responsibilities:

Develop and maintain Pyspark applications and pipelines to process large volumes of data
Collaborate with data scientists and engineers to implement machine learning models and algorithms
Design, build, and optimize data infrastructure to support data processing and analysis
Troubleshoot and resolve technical issues related to Pyspark and big data technologies
Monitor and improve performance of Pyspark jobs and processes
Participate in code reviews and quality assurance to ensure high-quality, scalable, and maintainable code
Stay up-to-date with industry trends and best practices in big data processing and analytics

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related field
Minimum of 3 years of experience in software development and data analytics
Strong proficiency in Pyspark and related big data technologies such as Hadoop, Spark, and Kafka
Experience with machine learning and data science tools and libraries such as Pandas, Numpy, and Scikit-learn
Proficiency in programming languages such as Python, Java, or Scala
Knowledge of SQL and relational databases
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities
Proven ability to work in a fast-paced and dynamic environment
Experience with Agile methodologies is a plus

Opportunity to work with cutting-edge technologies and contribute to innovative projects
Competitive salary and benefits package
Collaborative and inclusive work environment
Career growth and development opportunities
Flexible working hours and remote work options
Fun and engaging company culture

Apply now and take the next step in your career as a Pyspark Developer.

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