Spark & Scala Developer - Big Data Technologies
2 weeks ago
Job Description : Spark and Scala Developer
We are seeking a skilled Spark and Scala Developer to join our dynamic team. The ideal candidate will have hands-on experience in developing and optimizing data processing pipelines and possess strong expertise in big data technologies.
Key Responsibilities :
- Develop, test, and deploy scalable data processing applications using Scala , Spark , and related big data technologies.
- Design and implement data pipelines to process structured and unstructured data.
- Write optimized and efficient code in Scala and Python/PySpark- for data transformation and analysis.
- Work with SQL and NoSQL databases to manage and query large datasets.
- Integrate applications within the Hadoop ecosystem- (HDFS, Hive, HBase, etc.).
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Troubleshoot and optimize performance issues in large-scale distributed systems.
- Provide technical guidance on data architecture and infrastructure requirements.
Required Skills :
- Proficiency in Scala coding with a solid understanding of functional programming concepts.
- Extensive experience with Apache Spark for data processing and analytics.
- Hands-on experience in Python/PySpark for data engineering tasks.
- Proficiency in querying and working with SQL/NoSQL databases (e.g., MongoDB, Cassandra).
- Familiarity with the Hadoop ecosystem and big data technologies.
- Prior experience in Java development (preferred).
- Strong problem solving skills and the ability to optimize complex data workflows.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in big data development and distributed systems.
- Excellent communication and collaboration skills.
This role offers the opportunity to work on cutting-edge technologies and challenging big data problems in a fast-paced environment.
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