
Senior Big Data Specialist
1 day ago
Key Responsibilities:
We are seeking a highly skilled Data Engineer to design, execute and manage large distributed data systems using cutting-edge Machine Learning and AI technologies on a Hadoop cluster.
The role involves monitoring performance, optimizing existing projects, researching and integrating Big Data tools and frameworks, understanding business/data requirements and implementing scalable solutions.
- Design and execution of large distributed data systems.
- Performance monitoring and optimization of existing projects.
- Researching and integrating Big Data tools and frameworks.
- Understanding Business/Data requirements and implementing scalable solutions.
- Creating reusable components and data tools that help all teams integrate with our data platform.
Requirements:
Our ideal candidate will have:
- 2-4 years of experience in big data technologies (Apache Hadoop) and relational databases (MS SQL Server/Oracle/MySQL/Postgres).
- Proficiency in at least one of the following programming languages - Java, Python or Scala.
- Expertise in SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
- Proficiency in Apache Spark. Hands-on knowledge of working with Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance Optimizations.
- Good understanding of Distributed Storage (HDFS/S3).
- Strong analytical/quantitative skills and comfortable working with very large sets of data.
- Experience with integration of data across multiple data sources.
- Good understanding of distributed computing principles.
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