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PythonJavaScalaApacheSpark
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Job Description
We are seeking a highly skilled Big Data Engineer with strong expertise in Spark & Scala, along with solid experience in Java 8, Python (PySpark), and Hadoop architecture. The ideal candidate should possess advanced problem- solving abilities and a strong foundation in building scalable data processing systems.
Key Responsibilities :
- Design, develop, and optimize large- scale data processing pipelines using Spark and Scala.
- Work with distributed systems and Hadoop ecosystem components to handle big data workloads.
- Write efficient, reusable, and scalable code in Java 8 and Python (PySpark).
- Apply advanced logic- building skills to solve complex data engineering problems.
- Collaborate with cross- functional teams including data scientists, analysts, and product teams.
- Ensure data quality, performance tuning, and reliability of data pipelines.
- Participate in code reviews, testing, and deployment processes.
Required Skills
- Strong hands- on experience with Apache Spark (Scala & PySpark)
- Proficiency in Scala programming
- Experience with Java 8 ( good to have )
- Strong advanced logic- building and problem- solving skills
- Expertise in Python (PySpark)
- In- depth understanding of Hadoop Architecture and ecosystem (HDFS, YARN, MapReduce
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