Job Description :
Job Summary :
We are seeking a highly skilled Big Data Engineer with strong expertise in 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 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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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1635009