PySpark Engineer
3 weeks ago
Job Summary:
We are seeking a highly skilled PySpark Developer to join our team at NHRMS. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data processing pipelines using PySpark.
Key Responsibilities:
- Develop and maintain efficient data processing workflows using PySpark.
- Collaborate with data scientists and analysts to implement data solutions and optimize data transformations.
- Design and implement data frames for efficient data manipulation and processing.
- Participate in Agile activities, including daily stand-ups, sprint planning, and retrospectives.
- Ensure the quality and performance of data processing workflows.
- Troubleshoot and resolve issues related to data processing and transformation.
- Document technical solutions and processes.
Required Skills:
- Strong experience with PySpark and Apache Spark.
- Proficiency in Python programming.
- Expertise in working with data frames for data manipulation and processing.
- Familiarity with big data technologies and tools.
- Experience with Agile methodologies and participation in Agile activities.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of SQL and relational databases.
- Familiarity with version control systems like Git.
- Understanding of data warehousing and ETL processes.
Education and Experience:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a related role.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge data projects.
- Collaborative and innovative work environment.
- Professional growth and development opportunities.
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