
Big Data Developer
3 weeks ago
We are seeking an experienced Big Data Developer with 57 years of hands-on expertise in designing, developing, and optimizing large-scale data processing systems. The ideal candidate will have strong proficiency in Scala, Hadoop, Hive, and Spark, along with a solid understanding of distributed computing and data engineering best practices.
Key Responsibilities
- Design, develop, and maintain big data solutions leveraging Hadoop, Hive, Spark, and Scala.
- Build scalable and reliable data pipelines to ingest, transform, and process structured and unstructured data.
- Optimize data processing workflows for performance, scalability, and cost efficiency.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
- Implement best practices for data governance, security, and compliance.
- Troubleshoot and resolve performance, data quality, and scalability issues in big data applications.
- Contribute to architectural decisions and provide technical guidance to junior developers.
Required Skills & Qualifications
- Experience: 57 years in big data development or data engineering roles.
- Technical Skills:
- Proficiency in Scala for data processing and application development.
- Strong experience with Apache Spark (batch & streaming).
- Hands-on expertise in Hadoop ecosystem (HDFS, YARN, MapReduce).
- Proficient in Hive for data warehousing and querying.
- Knowledge of SQL and performance tuning techniques.
- Experience with distributed computing concepts and large-scale data processing.
- Strong understanding of data structures, algorithms, and design patterns.
- Familiarity with version control (Git), CI/CD, and Agile methodologies.
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