
Big Data Architect
16 hours ago
Data architects at leading organizations design and implement large-scale distributed data systems.
Responsibilities:
- Designing complex distributed architectures for high-performance applications.
- Collaborating with cross-functional teams to drive innovation and efficiency.
- Developing and maintaining scalable solutions that meet business requirements.
- Monitoring system performance, optimizing processes, and implementing best practices.
- Staying up-to-date with emerging technologies and trends in the field.
Requirements:
- 4+ years of experience in big data technologies (Apache Hadoop) and relational databases (MS SQL Server/Oracle/MySQL/Postgres).
- Proficiency in programming languages: Java, Python or Scala.
- Expertise in SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
- Hands-on knowledge of working with Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs.
- Good understanding of Distributed Storage (HDFS/S3).
- Strong analytical skills and comfortable working with large datasets.
- Experience with integration of data across multiple sources.
- Understanding of distributed computing principles.
Preferred Skills:
- Experience with Message Queues (e.g., Apache Kafka).
- Experience with MPP systems (e.g., Redshift/Snowflake).
- Experience with NoSQL storage (e.g., MongoDB).
Benefits:
- Frequent opportunities for professional growth and development.
- A collaborative and dynamic work environment.
- A competitive salary and benefits package.
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