Big Data Processing Specialist
6 days ago
At Futuremug, we believe in harnessing the power of data to drive innovation and growth. Our team of experts works tirelessly to develop cutting-edge data solutions that meet the evolving needs of our customers.
Job Summary:
We are seeking a highly skilled Big Data Processing Specialist to join our team. The ideal candidate will have a strong foundation in Python, Big Data Processing, and Spark (PySpark) and be experienced in handling large-scale data processing workflows.
Key Responsibilities:
- Develop and maintain data processing pipelines using PySpark and Python.
- Work with large datasets to ensure efficient data transformation, cleaning, and processing.
- Collaborate with data engineers, data scientists, and cloud architects to build scalable data solutions.
- Optimize Spark jobs for performance and scalability on distributed systems.
Requirements:
- 3-5 years of experience in Python development with expertise in PySpark.
- Strong understanding of Spark architecture, RDDs, DataFrames, and Spark SQL.
- Experience in writing optimized and efficient PySpark scripts for batch and real-time data processing.
- Strong knowledge of SQL and database technologies (PostgreSQL, MySQL, NoSQL, etc.).
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